Contributed Session Program

Summary of Contributed Sessions

Access to all Contributed Sessions is offered to registered attendees. 

Shown below is a preliminary list of sessions. The final lineup of Contributed Sessions will be shared in the conference's mobile application.

The IBC2026 Contributed Session Program has been confirmed. The sessions include a wide range of topics, including Bayesian methods, big data analytics, bioinformatics, biological networks, categorical data analysis and discrete models, casual inference, clinical trials, computer intensive methods and software development, diagnostic testing, genetics, imaging and signal data, infectious diseases and controls, joint outcome models, longitudinal data analysis/mixed effects model, machine learning, mechanistic models, micrarrays and omics data, missing and incomplete data, mixture models, multiple testing and adjustments for multiplicity, multistate models, predictive modelling, quantile regression, risk analysis and risk management, small area estimation, spatial and spatio-temporal modelling, survival analysis, validity and reliability of measurements, visualization and graphical statistics, and other biometrical related topics.  Congratulations to our presenters!

SESSION INFORMATION

SESSION TITLES AND SPEAKERS (Subject to Change)

SPEAKER NAMES

A BaSH-F model for estimating simultaneous covariance matrices for gestational outcomes in consecutive pregnancies Debamita Kundu
  High dimensional GWAS with longitudinal outcomes: A novel approach to approximate LMM with time-varying covariates Solomon Beer
A 2-in-1 adaptive design for binary endpoints Gosuke Homma
A Bayesian approach with double machine learning for semi-parametric partially linear regression Yu Luo
A Bayesian Computational Framework for Imputation of Censored Survival Data Shirin Moghaddam
A Bayesian DAG Framework for Estimating Patient Transition Probabilities: Severe Influenza Hospitalizations in Catalonia Lesly Acosta
A Bayesian Nonparametric Approach for Futility Interim Analysis Ryusei Ozaki
A Bivariate Fay-Herriot Model for Improving Small Area Estimation of Hemoglobin Levels in Women and Children Seyifemickael Yilema
A Bivariate Varying-Coefficient Cox-Type Model for Characterizing the Joint Treatment Effects over Dual Time Scales Jing Xu
A cautionary note on blinded sample size reestimation using exact unconditional tests for binary endpoints Yena Cui
A Comparison of Discrete Weibull and Zero-Inflated Conway–Maxwell Poisson Models for Count Data with Excess zeros Binukumar Bhaskarapillai
A comparison of transition probability estimators in potentially non-Markov multi-state models Merle Munko
A Conformal Inference Framework for Survival Analysis with Case–Cohort Sampling Wenbin Zhang
A CpG score-based gene set enrichment test for analysis of DNA methylation data with a hierarchical structure Hokeun Sun
A Dirichlet Age–Period–Cohort Framework for Coherent Cause-of-Death Modelling Rebecca Graziani
A Flexible Test for Comparing Two Hazard Rate Functions with Arbitrary Differences Xiaoxi Zhang
A general and unified parameterization of the beta distribution: A flexible and robust beta regression model Marcelo Bourguignon
A generalized method for the construction of non-inferiority P-value computations. Hongqiu Gu
A Generalized Phase I/II Dose Optimization Trial Design with Multi-categorical and Multi-graded Outcomes Richard Yan
A graphical approach for the evaluation of modeling choices in epidemiological risk estimation Lea Anna Cozzucoli
A hidden Markov model for disease surveillance using a joinpoint analysis Hyoyoung Choo-Wosoba
A Hierarchical Bayesian Model for Assessing Spatial Variations in Under-5 Malaria Mortality in Nigeria Joseph Akinyemi
A Hierarchical Graphical Model for Spatio-Temporal Data: Combining Bayesian Networks with Mixed-Effects Models Federica Cugnata
A hierarchical spatio-temporal modeling framework with correlated Gaussian processes Alejandro Rozo
A joint longitudinal-visit model for outcome-dependent sampling in pooled trial and registry data Pedro Miranda Afonso
A Joint Selection Model for Urban Food Insecurity with Non-Contact, Refusal, and Missingness Lawrence Kazembe
A Mixed Self-Exciting Process to Model Epileptic Seizures Karen Kanaster
A Multilevel Functional Modeling Approach for Dynamic Spatiotemporal Biomedical Data Yuko Araki
A Multi-Objective Optimization Algorithm for Gene Selection and Classification in Cancer Study Alabi Banjoko
A Multivariate Regression Approach for Joint Inference on Correlated Rare Binary Outcomes Halima Twabi
A New Approach to the Nonparametric Behrens-Fisher Problem with Compatible Confidence Intervals Stephen Schüürhuis
A new Bayesian joint model of longitudinal and cure-survival outcomes using the defective Gompertz distribution Dionisio Alves Neto
A novel mixed model for clustered binary data Marco Bonetti
A quantitative framework for dissecting genotype by environment interactions driving crop yield variability Stephanie Brunner
A Random Survival Forest Model for Time-to-Virologic Failure and Drug Resistance: Randomized Clinical Trial Claris Shoko
A robust multilevel framework for modeling longitudinal bilateral manual dexterity Fernanda Lang Schumacher
A scoping review for statistical methods and developing multivariate dose-response models in Neurotoxicity Research Junxiang Hao
A Semicompeting Risks Model to Identify Risk Factors for Diabetes Onset and Progression in UK Biobank Md Tuhin Sheikh
A Simulation Study on Handling Missing data under latent Class Joint outcome modeling Belachew Hunde
A Single Index Approach to Integrated Species Distribution Modeling Quan Vu
A spatial autoregressive graphical model Pariya Behrouzi
A Spatial Odyssey: Point Processes and Reversible-Jump MCMC in Super-Resolution Microscopy Jack Peyton
A SPATIO-TEMPORAL ANALYSIS TO ASSESS THE INFLUENCE OF CLIMATE CHANGE ON RESPIRATORY DISEASES IN KAMPALA CITY, UGANDA Fiona Agweng
A Stable and Bounded Estimator for Generalizing Conditional Average Treatment Effects via i-TMLE Vanessa Rodriguez
A Statistical Framework for Temporal Multi-omics Data He Li
A two-step causal inference approach for survival outcomes under time-varying latent confounding Marta Spreafico
Adapting non-inferiority MAMS-ROCI trial design to identify the longest inter-dose interval for vaccine schedules Boswell Munthali
Adaptive DPMM via Collapsed Variational Inference for High-Dimensional Transcriptomic Clustering Annesh Pal
Adaptive geostatistical sampling designs for low-resource settings Thomas Neyens
Adaptive LASSO for Modeling Varying Dispersion and Cluster Heterogeneity in Ordinal Regression Moritz Berger
Adjusted Random Effect Block Bootstraps for Highly Unbalanced Clustered Data Zhi Yang Tho
Advanced Data-Driven Statistical Technologies for Designing and Forecasting Clinical Trial Operations Vlad Anisimov
Advancing multilevel Bayesian networks with efficientBayesian inference Bezalem Eshetu Yirdaw
Advancing Population Growth Modelling through Allometry and Machine Learning Oluwafemi Oyamakin
Advancing Prognostic Models for Competing Risks in Renal Transplant Outcomes: Statistical and ML Approaches Getahun Mulugeta
Aggregation strategies for federated random forest – a systematic comparison Annika Swenne
Amortized Methods in Simulation Based Inference for Modeling Chronic obstructive pulmonary disease (COPD) Miriam Sitienei
An efficient estimation method for tensor-on-tensor regression with application to ReHo and fALFF data analysis Tianyi Lu
An Explainable AI Framework for Personalized and Continuous Monitoring of Honeybee Colony Health Ahmet Yalcin
A-Optimal Experimental Design for Estimating Dose-Response Functions of Gene-Drive Mosquitoes Lydiah Nyakweba
Application of Bridging Biomarker, Subgroup Analyses and External Data to Obtain FDA Pediatric Written Request Shu-Fang Hsu Schmitz
ArtistR: an integrative epigenomic-transcriptomic framework for detecting alternative transcript initiation in cancer Hyo Young Choi
Aspects of random generation of survival data Takis Besbeas
Aspirations Meet Reporting: Results from a Scoping Review of SMARTs from 2009-2024 Nikki Freeman
Assessing calibration in regression and ML-based prediction models using pseudo-values for time-to-event outcomes Aurora Gaeta
Assessing rotation invariance in a test for spatial point pattern homogeneity - an application to rabies prevalence Jamie-Lee Nel
Assessing tillage system stability in an unreplicated long-term experiment using spatio-temporal linear mixed models Paulina Siri Perez
Assessment of Global Evidence Against Homogeneity for Exhaustive Subgroup Treatment Effect Plots Frank Bretz
Average Causal Effect Estimation in DAGs with Hidden Variables: Extensions of Back-Door and Front-Door Criteria Razieh Nabi
Avoiding Bias Creates Bias in Random Encounter Models: Insights from Realistic Simulation Studies Rafael de Andrade Moral
Bagging-ABLE with Lasso: An Interpretable Rule Ensemble Method for Binary Outcome Yulong Li
Bayesian additive regression trees for multiple exposures with measurement error Zhen Chen
Bayesian Aggregation of Summary and Individual-Level Data: A Case Study Arijit Pyne
Bayesian Analysis of Clustered Semi-Competing Risks: Application to Multi-Center Breast Cancer Data Jinheum Kim
Bayesian analysis of the causal reference-based model in clinical trials with partially observed post-ICE data Brendah Nansereko
Bayesian covariate-adjusted response-adaptive randomisation in stepped-wedge cluster randomised trials. Constantin Schmidt
Bayesian Empirical Likelihood for Longitudinal Analysis (BELLA) via Hamiltonian Monte Carlo algorithm. Carina Silva
Bayesian Fractional Polynomials for Optimal Dosage Estimation Aliaksandr Hubin
Bayesian Generalized Canonical Correlation Analysis: joint modeling of complex ecological and environmental data May Ann Palen
Bayesian Hierarchical Hidden Markov Models for Multivariate Epidemic Time Series Geoffrey Singini
Bayesian inference of genetic ancestry based on Markovian Coalescent with memory Sebastian Quintanilla Terminel
Bayesian Latent Class Approach for Causal Estimation with Multiple Cognitive Outcomes Kuan Liu
Bayesian Latent Functional Modeling of High-Dimensional Time-Varying Exposures and Survival Outcome Sung Duk Kim
Bayesian model selection in meta-regression Bohua Chen
Bayesian Modeling of Structured Sparsity in Mixture Cure Models Chaeyeon Yoo
Bayesian Models Based on Gamma-Log-Logistic and Gamma-Skew-Logistic Distributions with Application to Breast Cancer Data AKINLOLU OLOSUNDE
Bayesian Sparse Principal Coordinates Analysis Reveals Drivers of Microbiome Beta-Diversity Hsin-Hsiung Huang
Bayesian Spatial Atlas Modeling for Predicting Tumor Heterogeneity in Prostate Magnetic Resonance Imaging Grace Hyun Kim
Bayesian vs Classical Models in Assessing CD4 and Viral Load among HIV/TB Patients in Rural Uganda BASHIR KISEGERWA
Benchmark Dose Estimation from Longitudinal Dose-Response Data. Heba Mansour
Benchmarking R packages for the estimation of mixed-effects models for longitudinal data Mirko Signorelli
Better alternatives than normalizing to control: Case studies with algae toxicity and dose-response analysis Christian Ritz
Better Ask ChatGPT? Evaluating Large Language Models in Detecting Misinterpretations of Statistical Concepts Julius Weise
Beyond Accuracy: Bias, Fairness, and Explainability in Predictive Models for Animal Welfare Bekir Cetintav
Beyond the Hazard Ratio: Highest Risk Density Regions to Visualize and Quantify Covariate Effects On Time-to-event Data Giacomo Biganzoli
Beyond the trees: Explainable Bayesian Causal Inference with semi-parametric BART. Yusufhan Balci
Bias-adjusted causal inference in latent class analysis of survey data: HIV testing non-response in South Africa Nonhlanhla Yende-Zuma
Biological Additivity and Interaction Daniel Zilber
BLRM-Powered RD Assurance and Decision Pathways in Phase 1 Oncology Dose-Finding Kosuke Ishida
Boosting methods for interval censored data with regression and classification Wenqing He
Bootstrap confidence envelopes for hybrid Mean Residual Life estimation Amirhossein Jalali
Bridging Determinism and Chance: Extending the Wells–Riley Model for Dual-Route Norovirus Transmission Nana Kena Frempong
Bridging Mechanistic and Statistical Frameworks in Infectious Disease Modelling: A Hybrid Multi-State Approach Yuwen Ding
Built-in selection bias in proportional hazard models with omitted covariates :evaluating the problem and the solutions Hélène Jacqmin-Gadda
But Who’s Counting? Quantifying oligomer distributions using Bayesian change point detection and hidden Markov modelling Emily Gribbin
Calibrating Machine Learning Approaches for Probability Estimation in Case of the Absence of Calibration Data Andreas Ziegler
Can Chronological Time be used as a Proxy for Unobserved Time-Varying Covariates in N-of-1 Trials? Thomas Gärtner
Can resampling approaches enhance linear and nonlinear mixed-effects model selection? Paola Rancoita
Causal effect estimation of multiple air pollutants on multiple health outcomes under unmeasured confounding Suyeon Kang
Causal ICM: A Gaussian Process Framework for Sensitivity Analysis in Data Fusion Evangelos Dimitriou
Causal Inference from Case-Control Studies: A Two-Stage Weighting Approach for Identifying Causal Estimands Mahbub Latif
Causal Mediation Analysis for Time-Varying Exposures and Confounders in Longitudinal Biostatistical Data John Eustaquio
Causal Record Linkage Kayané Robach
Censored broken adaptive ridge rank regression via induced smoothing approach Suyeon Seon
Center-specific precision-informed penalization for clustered survival models Konstantinos Pateras
ChatSpatial: An Agentic Framework for Reproducible Cross-Platform Spatial Transcriptomics Analysis Chen Yang
Choice of time scale in Cox’s model analysis of epidemiologic cohort data with time-varying predictors Ibrahim Chouaib
Choosing the Best Test for Differential Abundance in Microbiome Studies: a Data-Driven Approach Olivier Thas
Combining information from trial participants and non-participants in registry-based randomized trials Camila Olarte Parra
Comparing Traditional and Machine Learning Approaches for Cardiovascular Disease Risk Prediction in Ugandan PLHIV Daphne Agwang
Comparison of methods for absolute risk prediction in the presence of competing risks Karmel Teder
Competing Risk Analysis of Time to In-hospital Death and Recovered COVID-19 Patients in HUCSH, Hawassa, Ethiopia Anteneh Ali
Completing the Missing Picture of Mortality: A PCHIP–COM-Poisson Framework for Reconstructing Age-Specific Death Rates Suryo Rakhmawan
Confidence intervals for two-stage adaptive designs with subpopulation selection Enyu Li
Conformal Selective Borrowing and Randomization Inference for Small Hybrid-Control Trials: Methods and Case Studies Xiaofei Wang
Consensus Monte Carlo for mixtures of categorical distributions Julie Fendler
Consideration of missing values in sample size calculation for clinical trials using multiple imputation Teresa Byczkowski
Constrained longitudinal analysis of repeated measurements in an RCT: How to handle subgroups Stian Lydersen
Controlling False Discovery Rate in Multi-Omics Variable Selection via Knockoff-based Methods Guannan Yang
Copula-Preserving Data Augmentation for Dependently Censored Survival Data using Conditional Diffusion Models Hyun-Soo Zhang
Corrected Degree of Domesticity: A Proposed Network Metric in Hybrid Feature Selection via Social Network Analysis Hatice Zengin
Cortex-anchored sensor-space bases for efficient low-dimensional representation of EEG data Hyung Park
Covariate-adaptive randomization using historical data Nodoka Seya
Data-Dependent Differential Privacy: Formal Privacy Guarantees for Synthetic Epidemiological Data Jan Kapar
Data-driven causal pathway discovery for multi-omics data Claus Ekstrom
DEA with ML and Bayesian models to predict adverse events, severity, and mortality in colorectal cancer Xavier Barber
Dealing with partially missing correlations in meta-analyses for multiple parameters of interest Riccardo De Santis
Debiased Machine Learning of Marginal Hazard Ratios in Randomized Trials Sang Jin Lee
Decoding Microbiome Dual Mediation: Introducing ZIMMA for Enhanced Zero-Inflated Data Analysis Liangliang Zhang
Decomposing the Uncertainty of Dynamic Risk Predictions using Value of Information Teun Petersen
Deep neural networks with latent class modeling for multi-label image classification Guan-Hua Huang
Deep Variational Inference for Multi-Ancestry Bayesian Fine-Mapping from Summary Statistics Shizhe Xu
Design and causal inference of digital personalized N-of-1 trials Stefan Konigorski
Designing Clinical Trials in R with rpact and crmPack Daniel Sabanés Bové
Detecting Early and Late Divergences in Survival Curves Using Nonparametric Effect Measures Jonas Beck
Detecting Shifts and Extremes in Climate–Disease Relationships Using Changepoint and Extreme Value Analysis Bhavya Matta
Determinants and Forecasting of White Teff (Eragrostis Tef ) Production in Ethiopia: A Hybrid Modeling Approach Epiphane SODJINOU
DeTiP-ID: A Bayesian Framework for Estimating Delayed Progression in Alzheimer's Trials with Informative Dropout Lingpeng Shan
Developing Person-Adaptive Context Estimation in Continuous Time Kai Becker
Development and Comparative Evaluation of a New Selection Index for Clonal Selection: The Grapevine Case Study Elsa Goncalves
Differences between male and female mortality in Colombia: A population-based analysis since 1980 Oscar Espinosa
Differences in variable importance when predicting comorbidity-free longevity across social strata Joseph Van Buskirk
Discovering mixed-pattern biclusters using a genetic algorithm framework Jos Hageman
Discrete Survival Models for Biological Pest Control Clarice Demétrio
Distance based classification of samples with ultra-low sequencing depth Märt Möls
Distributed lag non-linear models with effect modification using Laplacian P-splines Sara Rutten
Dynamic and concordance-assisted learning for risk stratification Jing Ning
Dynamic borrowing methods with neural network-based subject selection Akalu Banbeta Tereda
Dynamic borrowing with a bias-tolerance cap in augmented randomized controlled trials Kota Sawada
Dynamic Survival Prediction with Multi-Task Modeling of Time-Varying Landmark Events LiJin Joo
Efficiency+ SWG: Data-Driven Decision Making - The Role of Statistical Modeling in Improving Clinical Trial Success Xun Chen
Efficiency+ SWG: Emerging Software Tools for Planning and Monitoring Kyle Wathen
Efficiency+ SWG: Improve Clinical Trial Operations through Advanced Statistics Fei Chen
Efficiency+ SWG: Integrating GenAI-Enabled Machine Learning Models for Clinical Trial Operations Success Palanikumar Ravindran
Efficient estimation for left-truncated competing risks regression for case-cohort studies Soyoung Kim
Efficient estimation in regression models for recurrent events in presence of terminal events. Giuliana Cortese
Efficient estimation of the target population average treatment effect from multi-source data Zehao Su
Efficient estimation of weighted average treatment effect under two-phase sampling Kazuharu Harada
Efficient g-estimation to estimate effects of time-varying treatments on multiple outcomes Takumi Kanata
Endogenous selection and spatiotemporal socioeconomic inequalities in COVID-19 vaccination in Cali, Colombia manuel moreno vasquez
Enhancing Multiplicity Adjustment in SIDES for Subgroup Identification with Differential Treatment Effects Nanzhi Shi
Estimating a treatment effect for survival when assignment to the target population is partially hidden Marilena Müller
Estimating differential gene networks by integrating gene expression and methylation data Anna Plaksienko
Estimating Disability Dynamics in Italy Using a Multistate Model: Transfer Learning From Multiple Official Surveys. Enrico Roma
Estimating heritability of survival traits using censored multiple variance component model Do Hyun Kim
Estimating hidden population sizes using multiple systems estimation with censored data Lanxin Li
Estimating Survivor Attributable Fraction under Truncation by Death: triple robustness and sensitivity analysis HYUNMAN SIM
Estimating the Population Size in Capture-Recapture Experiments with Right Censored Data. Pere Puig
Estimating Treatment Effects in Spatial Transcriptomics via Causal Transfer Learning of Soft Interventions Young Joo Lee
Estimation and model selection for conditional average treatment effects using inexactly matched data Jiwoong Yu
Estimation and regression analysis under early termination of a competing risk Rebecca Betensky
Evaluating Dimension Reduction Approaches for Two-Phase Studies with High-Dimensional Auxiliary Covariates Osvaldo Espin-Garcia
Evaluating Generalized Linear Mixed Effects Model Robustness for IPD Meta-Analysis of Diagnostic Tests Diribsa Bedada
Evaluating Prediction Variance in Latin Hypercube Designs for High-order Response Surface Models Hope Mbachu
Evaluating the impact of OMOP-CDM on data quality insight generation in tuberculosis disease management Yankam Mbouamba Brenda
Exploring drug-drug-gene interactions of clopidogrel therapy using target trial emulation in the Estonian Biobank cohort Laura Birgit Luitva
Exploring Sensitive Biomarkers with Short-term Response and Long-term Outcome Using Bayesian Additive Regression Trees Zixuan Yao
Exploring the Use of the Win Ratio as a Phase II Endpoint in Cancer Clinical Trials Mithat Gonen
Extending Adaptive Reference Ranges for Longitudinal Data Monitoring: A Covariate-Adjusted and Multivariate Framework Davood Roshan
Extending Multi State Outcome Weighted Learning to estimate optimal individualized treatment rules in real world data Sean McCabe
Extending Spatio-Temporal Endemic-Epidemic Model for COVID-19 in South Africa: Toward Joint Analysis of Cases and Deaths Rashider Aloni
Extending the Smooth Information Criterion: Bayesian, Neural Network, and High-Dimensional Perspectives Andrew McInerney
Fast Permutation Test for High-Dimensional Sparse Canonical Correlation Analysis Jenny Lee
FBAT-AI: Family-based association testing and effect estimation, incorporating nurturing effects and omic risk-scores Christoph Lange
Federated Learning with Incomplete Data: Applications to Preterm Kidney Health Jesus Vazquez
fishtoolkit: an R package to analyse and interpret fisheries data Julien Mainguy
Flexible Bayesian Generalized Linear Mixed Models Florian Frommlet
Flexible Modeling of Varying Coefficients in Tweedie Regression based on Trees Miguel Angel Cordero Alba
Flexible Omnibus Test for a Time-Varying Coefficient Model in Longitudinal Study Byung-Jun Kim
Framework for a data-driven tool for longituinal monitoring of hemoglobin levels in very low birth weight infants Amita Manatunga
Functional analysis methods for optimally parameterized predictive curves in schizophrenia spectrum disorders Hanna Sõnajalg
Functional Data Analysis for Time-Varying Binary Networks George Aivaliotis
Functional Data Analysis for Time-Varying Networks Puchong Paophan
Functional protein biomarkers based on distributions of expression levels in single-cell imaging data Misung Yi
Fused partitioned regression to integrate established clinical risk factors and omics variables in cancer applications Jeroen Goedhart
Futility Analysis in pharmaceutical industry – How to make them more efficient Hans Burger
Fuzzy lattice catchment areas for the spatial risk of diarrhoea Amy Pieters
Gaussian process regression for value-censored functional and longitudinal data Andreas Kryger Jensen
Generalizability of Ensemble Machine Learning Model for Medication Adherence Prediction in Heart Failure Samrachana Adhikari
Generalized Entropy Calibration for Integrating Probability and Non-Probability Samples Yonghyun Kwon
Generalizing Treatment Effects from Trials to EHR Populations using Propensity Score Predictive Inference Qixuan Chen
Generating and Evaluating realistic Synthetic Healthcare Data: a 'three and three' rule Said El Bouhaddani
Gibbs sampling for Bayesian P-splines Oswaldo Gressani
Goodness-of-fit test for the cure rate in mixture cure models when the cure status is partially known Ana Lopez-Cheda
Handling group effects in regression models Christiana Kartsonaki
Handling Missing Data in Longitudinal Studies with Multiple Imputation and Inverse Probability Weight Bhrigu Rajbongshi
Handling missing data in outcomes and covariates in cluster randomized trials Shahab Jolani
Handling Missing Outcome Data in Cluster Randomized Trials with Both Individual- and Cluster-Level Dropout Catherine Crespi
Health effects evaluation accounting for exposure measurement error in air pollution epidemiology Eun Sug Park
Heterogeneity effects of transcarotid vs transfemoral carotid stenting in stroke prevention Pablo Martinez Camblor
Heterogeneous latent variable modeling of multivariate outcomes Limin Peng
High dimensional sliced inverse regression in the presence of endogeneity Linh Nghiem
How much do agricultural practices drive soil C and N dynamics? A meta-model of variance component from multiple sources Franca Giannini-Kurina
Hybrid Non-informative and Informative Prior Model-assisted Designs for Mid-trial Dose Insertion Masahiro Kojima
Identification of High-Risk Cells in Single-Cell Spatially Resolved Transcriptomics Data by DEGAS and Spatial Smoothing Justin Couetil
Impact of donor size on short- and long-term outcomes in pediatric kidney transplant recipients Lina Serna Higuita
Improved methods for analyzing small samples in high dimensions   with application to genome-wide association studies Anat Reiner-Benaim
Improving Safety Reporting: Defining Estimands, Choosing the Estimator, and Reporting both Incidence and Event Rates. Sauvageot Nicolas
Improving Small-Sample Inference in Zero-Inflated Count Models via Firth’s Penalized Likelihood Approach Shoko Ukita
Improving Survival Prediction with Auxiliary Information: A Concordance-Based Transfer Learning Approach Jingyi Hu
Imputation of Missing Values in Adaptive N-of-1 trials: A Simulation Study Juliana Schneider
Individual Patient Data Meta-Analysis - A Case Study Andrea Berghold
Inference for change-plane regression and its application in precision medicine. CHAERYON KANG
Inference in longitudinal data analysis with terminating events Roula Tsonaka
Inference of Sparse Spectral Precision Matrices in High Dimension Younghoon Kim
Inferring association between chromatin structure and gene expression using a mixture of functional regression models. Mathilde Bruguet
Inferring the causal effect direction in genetic association studies Sharon Lutz
Information borrowing in Bayesian clinical trials: choice of tuning parameters for the robust mixture prior Vivienn Weru
Insecticide Treated Net Use among Women in Tanzania: A Multi-Level Modelling Analysis Clemence Taremwa
Integrating Landmarking and Competing Risks in Survival Analysis with Machine Learning Techniques Md Hasinur Rahaman Khan
Integrating Presence-only and Abundance Data to Predict African Baobab Distribution: A Bayesian Data Fusion Framework Akoeugnigan Idelphonse SODE
Interactive JavaScript Applications to Support Data Exploration and Interpretation in Plant Breeding Vivi Arief
Interpretable Federated Learning Based on a Rule Ensemble Method Ke Wan
Investigating Temporal Changes in Microbiome Cohort Data Using Latent Dirichlet Allocation Approach and Its Extensions Anastasia Teterina
Investigating the association between emotional health trajectories and onset of peri-menopause: A Bayesian joint model Irena Chen
Irreversibility and entropy of physiological time-series as indicators of medical conditions: ECGs and gait signals. Cesar Maldonado
JMbdirect: Joint Modeling with Semi-Parametric Link Functions for Bidirectional Feedback in Longitudinal-Survival Data Atanu Bhattacharjee
Joint and Pattern-Mixture Modeling of Quality-of-Life with Uneven Follow-Up in Cancer Trials Wei Tu
Joint Frailty Model for Assessing the Effect of Random Heterogeneity and Longitudinal Measures in Time-to-Event Analysis Jagathnath Krishna KM
Joint modeling and dynamic predictions for family data with recurrent events, longitudinal and survival outcomes Yunhee Choi
Joint Modeling of Longitudinal Exposure Accumulation and Survival Outcome in the Agricultural Health Study Kecheng Li
Joint Models for Genomics-Driven Precision Medicine in Cancer Clinical Trials Laurent Briollais
Joint Models for Skewed Longitudinal Data and Competing Risks: Efficient Bayessian Inference Using INLA Melkamu Ferede
Kumaraswamy-Normal Distribution in Environmental Process Monitoring: Measurement Validity and Reliability Saheed Afolabi
Leveraging Concepts from Random Forests to Cluster High-Dimensional Data with an Application in Immunology Alice Simon
Life-history variation under thermal variability: an allometric framework for energy allocation trade-offs Hideyasu Shimadzu
Likelihood-Based Inference for Spatial Birth–Death Processes with Applications to Forest Dynamics Shamali Sujeewa Kumari Pradana Mudiyanselage
LLM-Guided Framework for Privacy-Preserving Discovery of Dynamic Models Hanning Yang
Longitudinal categorical data and diagnostic for overdispersion with clustered structure Idemauro Rodrigues de Lara
Longitudinal Data Classification through nonlinear mixed effects models with heterogeneity in the random effects Maritza Márquez Nieto
Longitudinal Modeling Approaches for Cognitive Test Data with Missing Values Denitsa Grigorova
Lowering the Barrier: An Intuitive Framework for Optimal Design in Immunization Studies Stefan Embacher
Low-rank structure reshape for tensor regression with application in neuroimaging-based reading comprehension analysis Chuoxin Ma
Machine Learning-enhanced Propensity Scores to Adjust for Non-adherence in Longitudinal Randomized Clinical Trial Huaqing Zhao
Max-Sliced Wasserstein Distance for Morphometric Similarity Networks Tomoshige Nakamura
Methodology and software for analysis of repeated measures single-cell RNA-seq data Ye Ji Choi
Methods for Heterogeneous Multilayer Network Analysis for Biomedical Research: the MixMashNet R package Maria De Martino
Mitigating Primer Bias in Biogeographical Studies of Polar Aerobiology Ana Justel
Mixed-Sided Covariate-Dependent Rectangular Tolerance Regions for Complex Clinical Assessments Iana Michelle Garcia
Mixing black-box and interpretable additive models in health applications Jessica Doohan
ML-Based Adaptive Approach for Testing Differential Abundance in Microbiome Data Johniel Babiera
Model Diagnostics in Generalized Linear Models with an Interval-Censored Covariate Klaus Langohr
Model selection with missing data: a unified framework based on stacked multiple imputation Natsumi Kumano
Modeling Antibody Kinetics in Pregnant and Lactating Women Following COVID-19 and Tdap Vaccination Lukas Buchhäusl
Modeling Antiviral Drug Efficacy Using Third-Order Orthogonal Composite Designs Abimibola Oladugba
Modeling Mortality and Loss to Follow-Up in TB/HIV Co-Infected Individuals: A Competing Risks Joint Modeling Approach Nobuhle Mchunu
Modeling Reference Curves for Highly Skewed, Truncated, and Mixed Distributions from Heterogeneous Data Timm Intemann
Modelling adjusted Risk Differences (aRD) using penalized maximum log-likelihood estimation in lin-binomial regression Stefan Wagenpfeil
Modelling Sorghum Height Dynamics Using Logistic Growth Curves for Genetic Association Analysis Colleen Hunt
Modified common close design for count data: balancing power and practicality Carrie Li
Monotone response surface of multi-factor condition: estimation and Bayes classifiers Ying Kuen Cheung
Morphology-Preserving Beat Resequencing Augmentation for Deep Learning-Based ECG Classification Jaechan Lim
Mortality and Associated Factors among People Living with HIV recently Initiated into Care at Bamenda Regional Hospital Faustus Ajamah
Multi-environment trial analysis of dispersed count data using generalised linear mixed models Michael Mumford
Multiple Imputation of Zero-Inflated and Count Data from a Cluster Randomized Trial: a Comparative Analysis Vester Gunsaru
Multi-Tree Model for Precision Environmental Health with Longitudinally Assessed Mixture Exposure Seongwon Im
Multi-type Decomposable Sevastyanov Branching Process with Randomized Mutation Rates Maroussia Slavtchova-Bojkova
Multivariate Mixed Model for Mean-Covariance Analysis of 16-Segment Cardiac Magnetic Resonance Data Yunfei Fan
Multivariate Model-Based Landmarking for Dynamic Prediction in Mixture Cure Model Marta Cipriani
Multivariate Statistical Decision Limits using Bayesian Prediction Regions Lian Mae Tabien
Multiwave, retrospective study designs for ordinal response data: Lessons learned Jonathan Schildcrout
Non-parametric Bayesian Inference for Outcome Dependent Sampling Paul Rathouz
Novel Dynamic Modeling of Short- and Long-Term Time-to-Progression in Alzheimer's Disease Chengfeng Zhang
Novel Robust Design Strategies for Nonlinear Interaction Modelling Timothy O'Brien
On Conditional Power Calculation in Group Sequential Designs: Using One Point or Multiple Points? Nagi Kurita
On estimands in target trial emulation studies Edoardo Efrem Gervasoni
On Estimation of the Relative Risk Regression Model for Binary Data Mohammad Rahman
On regression models for inflated count data Monika Arora
On the analysis of genetic association with long-read sequencing data Gengming He
Optimal conditional error functions for confirmatory adaptive designs Werner Brannath
Optimal Design of Randomized Response Mechanisms Under Differential Privacy for Binary Sensitive Health Data Bittu Karmakar
Optimal Field Sampling Framework for Surveillance of Cutting-Related Plant Diseases Koissi SAVI
Optimal weighting scheme for multivariate functional data-based biomarkers based on AUC Dagun Oh
Optimal When-to-Treat Policies Under Dynamic Resource Constraints Tarek Zikry
Optimising Compression Therapy Using Functional Data Analysis and Biometric Monitoring Scott Robinson
Overcoming Spatial Bias when Estimating Above-Ground Biomass (AGB) through Generalised Additive Modelling (GAM). Lennart Hoheisel
Pairwise-Fitting Approach for Longitudinal Coagulation Data and Recurrent Events in Dialysis Patients Tiana Poffé
Parametric and nonparametric sensitivity analysis for publication bias in meta-analysis of diagnostic test accuracy Yi Zhou
Parametric vs Nonparametric Estimation of the Causal Effects of Continuous Childhood Exposures on Adolescent Obesity Ronja Foraita
Partitioning variance in generalized linear mixed models Pratyaydipta Rudra
Penalised spline estimation of covariate-specific time-dependent ROC curves Maria Xose Rodriguez Alvarez
Penalized Piecewise Exponential Distributional Regression Model for Survival Analysis Jack Moore
Population Matching to Augment Back-Translation Between Clinical Trials and Biobank Data for Drug Target Discovery Han Chang Chiam
Post hoc inference based on conditional permutation for gene-set analysis Sara Fallet
Power comparison of hazard ratio versus restricted mean survival time in the presence of cure Ronald Geskus
Predicting Age-Specific Mortality Rates Using Remote Sensing and Machine-Learning Life Table Models I Nyoman Setiawan
Predicting Nutritional Composition from 2D Food Images Using Deep Learning: Ingredient Integration Beyond Nutrition5k Valeria Edefonti
Predicting Ordinal Outcome Using Interpretable Artificial Representative Tree with Conformal Uncertainty Quantification Lea Kronziel
Prediction in the presence of missing data. Bart Mertens
Predictive Models for Breast Cancer Brain Metastasis: Radiogenomics for Better Clinical Practice Graceful Mulenga
Predictiveness curves and surfaces on retrospective data: an application to serum biomarkers in colorectal cancer Silvia Mignozzi
PREDOSE: Pharmacometrically Refined Early-phase Dose Optimization design for Oncology Study Enhancement Ayon Mukherjee
Prevalence Incidence Cure models: A survival Cure model for Electronic Health Records with incomplete baseline diagnoses Matilda Pitt
Principal stratification with a continuous treatment and mediator Heejun Shin
Prior Robustness Analysis of Bayesian Clinical Trials Using the Distorted Band Class of Priors Jinming Yang
Privacy-Preserving Cox Proportional Hazards Regression Using Homomorphic Encryption Garam Lee
Privacy-Preserving One-Shot Federated Inference for Linear Mixed Models Keisuke Hanada
Probabilistic integration of multi-omics data to identify shared and specific molecular signatures across biobanks. Rosember Guerra Urzola
Quantifying Racial Bias in Birthweight Screening: An ROC Curve Approach. Soutik Ghosal
Quantifying the Burden of Rift Valley Fever in Kenya Lilian Owino
Random regression for Finlay-Wilkinson stability prediction Lucia Gutierrez
Randomization-Based Inference for MCP-Mod Lukas Pin
Randomized Selection Design for Early Phase Biomarker Driven Oncology Trials Sisay Adall
Recent developments in joint modeling for recurrent gap times with a terminal event Ming Wang
Regression Analysis of Amplitude and Phase Variations in Functional Data–Based Biomarkers Jeong Hoon Jang
Regularized win ratio regression for variable selection and risk prediction Lu Mao
Releasing Large-Scale Multi-Omic Immunology Data to Accelerate Computational Method Development and Innovation Samir Rachid Zaim
Reluctant Transfer Learning in Penalized Regressions for Individualized Treatment Rules under Effect Heterogeneity Eun Jeong Oh
Repeated inclusion cluster randomised trials: a new class of designs for assessing group-level interventions Jessica Kasza
Resolving Conflicting Treatment Hierarchies Across Multiple Outcomes in Multivariate Network Meta-Analysis Guido Schwarzer
Retrieving Relevant Single-Cell RNA Sequencing Profiles with Gene Expression Clustering Arina Surko
RISE: Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers Applied to Vaccinology Arthur Hughes
Risk-Set Sampling in Random Survival Forests for Survival Analysis Justine Nasejje
Robust Biweight M-Estimator-based Simultaneous Prediction Intervals with Applications in Laboratory Medicine Michael Daniel Lucagbo
Robust model selection using likelihood as data Jongwoo Choi
Robust tests and rank confidence sets for intraocular lens power calculation formulas Yuval Benjamini
Robustness intervals for competing risks analysis with causes of failure missing not at random Giorgos Bakoyannis
S3R: Spatially Smooth and Sparse Regression Reveals Complex Spatially Dependent Relationships Sha Cao
Sampling Fractions and Stratification Strategies for Developing Risk Prediction Models in Case-Cohort Designs Yangfan Li
Selective Inference for Quantifying Subgroup Effects and Replicable Discoveries Anna Vesely
Semi-knockoffs: a practical and powerful approach to conditional independence testing with Machine Learning models Angel Reyero-Lobo
Semiparametric Functional Multi-State Models: Estimation and Testing with Application to Alzheimer’s Disease Chenrui Qi
Semiparametric regression analysis of case-cohort studies with multiple interval-censored disease outcomes Haibo Zhou
Sequential testing for informativeness of cluster sizes in three-level designs Samuel Anyaso-Samuel
Shape-Constrained P-Splines and Latent Class Mixed Models for Classification of Adolescent Growth Trajectories Dae-Jin Lee
Signal Detection under Fluctuating Spontaneous Reporting Rate Tatsuhiko Anzai
Simple construction of the worst-case bounds for publication bias via linear programming using clinical trial registries Ao Huang
Skin Nerve Activity Derivation from Electrocardiogram for Objective Pain Assessment Youngsun Kong
Smart Data Augmentation: One Equation is All You Need Yan Ma
Socio-spatial characterization of sub-sewersheds - developement of two estimators for population-related variables Yassine Talleb
Software Implementation of the Exact Distributions of the Smallest and Largest Multinomial Counts Sergio Venturini
Sparse Modeling of Category-Specific Effects in Ordinal Regression based on Tree-Structured Clustering Nikolai Spuck
Spatial causal analysis: case study of testicular cancer and PFAS exposure in Veneto, Italy. Allegra Sartore
Spatial Close-Kin Mark-Recapture Methods to Estimate Dispersal Parameters and Barrier Strength for Mosquitoes Shuyi Yang
Spatio-temporal modelling and hierarchical forecasting of wildfires in Brazil Paulo Rodrigues
Stability and Bifurcation Analysis of a Modified Lassa Fever Model Bolarinwa Ajala
Staircase cluster randomised trial designs: optimal allocation of clusters to sequences Kelsey Grantham
Statistical Designs and Strategies for Simultaneous Escalation in Dual-Drug Combination Phase I Oncology Clinical Trials Stefan Englert
Statistical Inference for Consistency, Heterogeneity and Efficacy of Federated Learning Models Dominik Heinzmann
Statistical Method for Mutational Signature Decomposition in Small-Sample Whole-Exome Sequencing Data Youngchul Kim
Statistical Methods and Regulatory Considerations in Phase I Clinical Trials Tzy-Chy Lin
Statistical power modeling for spatial transcriptomics data Audrone Jakaitiene
Stepped-Wedge Design and Orthogonal Array-Based Latin Hypercube Design: A Comparative Study Kazeem Osuolale
Subgroup Analyses and Effect Modification with Bayesian Kernel Machine Regression Ander Wilson
Subpopulation Treatment Effect Pattern Plot (STEPP): A Bayesian Approach for Heterogeneous Binary Outcomes Luca Benetti
Super Learner for Survival Prediction in Case-Cohort and Generalized Case-Cohort Studies Jianwen Cai
Syndemic Mapping of HIV and other STIs in KwaZulu-Natal Retius Chifurira
Systemic Understanding of Metabolic Expression Changes in Patient Cancer Datasets Soyoung Jeon
Testing and estimation of drug effects in clinical trials where the study endpoint is   defined by ordinal categories. Takashi Yanagawa
Testing and Sample Size Calculation for Evaluating Random Errors in Binary Classification Tests Without a Gold Standard Tetsuji Ohyama
Testing for equivalence of multiple regression curves with application to drug combination studies Niklas Hagemann
Testing hypotheses via orthogonalization Ameer Dharamshi
The pediatric precision oncology trial series INFORM2: statistical approaches and challenges Annette Kopp-Schneider
The Recursive Partitioning BLUP (RP-BLUP) for Improved Estimation of Heterogeneous Treatment Effects Eunsan Kim
The Tree-Ordered Harmonic Fowlkes–Mallows Index (THFM): A Decision-Theoretic Metric for Sequential Medical Diagnostics Parthkumar Rabari
The Use and Implementation of Instrumental Variables in Pharmacoepidemiology: A Scoping Review Chrianna Bharat
The use of ordinal transition and multi-state models in the evaluation of length of stay in-hospital Paola Rebora
Theoretical aspects of martingale residuals in Cox modeling Anastassia Kolde
Time savings in Alzheimer's disease trials using disease progression trajectory curves Guogen Shan
Time-dependent predictors of loss to follow-up in HIV care in low-resource settings: A competing risks approach Girma Aweke
Time-to-event analysis with a partly unknown, time-dependent, exogenous treatment – a problem in paediatric SCT-studies Martina Mittlböck
Toward Valid Generative Clinical Trial Data with Survival Endpoints Agathe Guilloux
Tree-based index models for environmental exposure data Ruijin Lu
Two stage single-arm Phase II trial design addressing the uncertainty of external historical controls Dimitris Karlis
Uncovering Genetic Pathways in Type 2 Diabetes Using Genomic Structural Equation Modeling Merli Koitmäe
Uncovering tissue-level patterns associated with melanoma survival via model-based clustering of spatial transcriptomics Min Zhang
Unsupervised multi-omics integration with factor models Bernard Osang'ir
Unveiling Hidden Structure in Credit Risk: A PCA-Based Solution to Multicollinearity in NPL Forecasting Peter Njuho
Using linear mixed models to enable genomic prediction across multiple environments in mungbean breeding M. Valeria Paccapelo
Using mixed-effects random forests to predict BMI development in children and adolescents based on multi-cohort data jiumeng zhang
Using permutation tests evaluating unplanned changes of the molecular treatment algorithm in precision oncology trials Cristina Marelli
Vaccine safety monitoring of 27 adverse events of special interest: A NZ signal-detection study using the GVDN protocol Yannan Jiang
Validation of Physics-Based Probabilistic Models for Particle Deposition in the Mouse Lung Martin Puig
Value-of-information for causal questions: a bridge between randomised controlled trials and real-world evidence Brieuc Lehmann
Variable selection for randomized response survival data Chi-Chung Wen
Weakening assumptions for treatment effect testing in RCTs with truncation by death or other intercurrent events Georgi Baklicharov
WEIGHTED GUMBEL DISTRIBUTION BASED ON LENGTH AND AREA BIASED FOR APPLICATIONS IN EXTREME EVENTS Amidu OYEBANJO
Weighting for Improved Performance of Ensemble Machine Learning Methods Vanda Lourenço
When All Measures Fail the Same Way: A Fundamental Correction to American Segregation Trends Boris Barron
Win Ratio and Joint Models for Hierarchical Recurrent-Event Endpoints in Clinical Trials: designing and treatment effect Virginie Rondeau
Zero-Inflated Beta-Binomial Mixed Models for Longitudinal Microbiome Count Data John Barrera
Zero-Inflated Poisson Models with Measurement Error in Response Grace Yi


Participation in IBC sessions will count as professional development hours toward the voluntary PStat® (Accredited Professional Statistician) accreditation.