No cure for cure models: killed by competing risks - Lifetime Data Analysis

A Unified Framework for Rerandomization using Quadratic Forms

Statistics for Climate Science: Differentiation and Integration

Behaviour Analysis with Machine Learning Using R

Bias correction for Chatterjee’s graph-based correlation coefficient

Bayesian Models in Health Technology Assessment

How to be SMART in oncology: A practical framework to assess the contribution of phase using sequential multiple adaptive randomized treatment designs - Kristine R. Broglio, Elizabeth F. Krakow, Erica...

Finite‐Sample Adjustments in Estimating Equations for Correlated Overdispersed Count Outcomes With Application to Cluster Randomized Trials

Bayesian Machine Learning for Estimating Optimal Dynamic Treatment Regimes With Ordinal Outcomes

Sparse maximum likelihood estimation of regression models

Blinded sample size recalculation in randomized controlled trials with analysis of covariance

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Client Challenge

Optimal Dynamic Treatment Regimes for High‐Dimensional Accelerated Failure Time Model

Statistical Methods in Generative Artificial Intelligence

Methods of Selective Inference for Linear Mixed Models: A Review and Empirical Comparison

Bounds for the regression parameters in dependently censored survival models

Recent criteria and simple rules agreed often on required sample size for developed clinical prediction models

What is estimated in cluster randomized crossover trials with informative sizes? A survey of estimands and common estimators - Kenneth M Lee, Andrew B Forbes, Jessica Kasza, Andrew Copas, Brennan C Ka...

Fixed or Random Effects: Analysis of Clustered Data

<citation type='book' id='insr70060-cit-0002'><bookTitle>Foundations of Bayesian Statistics for Data Scientists: With R and Python</bookTitle> <author><givenNames>Alan</givenNames> <familyName>Agresti...

Risk of bias assessment for Mendelian randomisation studies: a guide - European Journal of Epidemiology

A Modified Random Survival Forest for Improving Prediction Accuracy in Case‐Cohort and Generalized Case‐Cohort Studies

Xu Ning, Francis K.C. Hui and A.H. Welsh (2026). ASYMPTOTIC RESULTS FOR PENALIZED QUASI-LIKELIHOOD ESTIMATION IN GENERALIZED LINEAR MIXED MODELS. Vol 36 No. 3, 1257-1278. DOI:10.5705/ss.202023.0343.

Hang Qian (2026). BAYESIAN STATISTICS BY ARITHMETIC OPERATIONS OF CONJUGATE DISTRIBUTIONS. Vol 36 No. 3, 1175-1192. DOI:10.5705/ss.202024.0052.

Regression by composition

Variable selection for clinical prediction models in low-dimensional data - a simulation study comparing traditional regression and machine learning methods - BMC Medical Research Methodology

Semiparametric fiducial inference for Cox models

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Covariate Adjustment for Wilcoxon Two Sample Statistic and Test

Extracting Interpretable Models from Tree Ensembles: Computational and Statistical Perspectives

Rejoinder to Commentaries on “A Perspective on the Appropriate Implementation of ICH E9(R1) Addendum Strategies for Handling Intercurrent Events”

Reinterpreting I2 Thresholds: Toward Context‐Specific Heterogeneity Assessment in Evidence Synthesis

Leveraging external controls in clinical trials: estimands, estimation, assumptions

Fundamentals of Robust Machine Learning: Handling Outliers and Anomalies in Data Science, Resve Saleh, Sohaib Majzoub, A.K. Md. Ehsanes Saleh, John Wiley & Sons, 2025, xiv + 416 pages, £103.95, hardcover. ISBN: 978‐1‐394‐29437‐4

Comparison of flexible parametric modeling and nonparametric methods to estimate restricted mean survival time: A simulation study

Simulated treatment comparisons with jackknife pseudo values for estimating population-adjusted marginal treatment effects

INTACT: a method for integration of longitudinal physical activity data from multiple sources

Practical considerations when using the covariate-adjusted log-rank test for the analysis of time-to-event endpoints in oncology trials

Integration of aggregate data in causally interpretable meta-analysis by inverse weighting

AIC for many-regressor heteroskedastic regressions

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bayesNMF: Fast Bayesian Poisson NMF with Automatically Learned Rank Applied to Mutational Signatures

Causal Inference: A Tale of Three Frameworks | Journal of Data Science | School of Statistics, Renmin University of China

Automatic debiased machine learning for covariate shifts