Examining the Efficacy of Coarsened Exact Matching as an Alternative to Propensity Score Matching Coarsened exact matching (CEM) is often promoted as a superior alternative to propensity score matching (PSM) for addressing imbalance, model dependence, bias, and efficiency. However, this recommend...

Examining the Efficacy of Coarsened Exact Matching as an Alternative to Propensity Score Matching. Fei Wan. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

A computational framework and software tool for generating complex survival data with predefined censoring rates in simulation studies - BMC Medical Research Methodology BMC Medical Research Methodology - An increasing number of survival analysis methods require validation under complex simulation scenarios. However, existing data generation tools are often...

A computational framework and software tool for generating complex survival data with predefined censoring rates in simulation studies. Haichang Chen, Qiang Yao, Yidie Lin, Meijing Hu, Jiao Pei, Cairong Zhu. BMC Medical Research Methodology. link.springer.com/article/10.1...

A note on the relation between one–step, outcome regression and IPW–type estimators of parameters with the mixed bias property Bruns-Smith et al. (2025) established an algebraic identity between the one-step estimator and a specific outcome regression-type estimator for a clas…

A note on the relation between one–step, outcome regression and IPW–type estimators of parameters with the mixed bias property. Andrea Rotnitzky, Ezequiel Smucler, James M. Robins. Statistics & Probability Letters. www.sciencedirect.com/science/arti...

Quantile-based nonparametric estimation of the Kullback-Leibler divergence Kullback-Leibler divergence is a fundamental measure of dissimilarity between two probability distributions, widely used in statistics, information th…

Quantile-based nonparametric estimation of the Kullback-Leibler divergence. Angel Mathew, Nibha P. Raj. Statistics & Probability Letters. www.sciencedirect.com/science/arti...

A new composite Mann-Whitney test for two-sample survival comparisons with right-censored data A fundamental challenge in comparing two survival distributions with right-censored data is the selection of an appropriate nonparametric test, as the power of standard tests like the Log-rank and ...

A new composite Mann-Whitney test for two-sample survival comparisons with right-censored data. Abid Hussain, Touqeer Ahmad. Journal of Statistical Computation and Simulation. www.tandfonline.com/doi/full/10....

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A practical review of response-adaptive randomization: Under-explored challenges and potential directions. Hao Mei, Xiaolin Xu, Hang Yang, Fan Wang, Yang Li. Statistical Methods in Medical Research. journals.sagepub.com/doi/abs/10.1...

Correcting for a Baseline Difference in Group Comparisons on a Binary Outcome: Covariate Adjustment or Analysis of Change? Effects of treatments or exposures are evaluated by comparing a treated or exposed group with a control group after treatment or exposure. A baseline group difference can be accounted for by covariat...

Correcting for a Baseline Difference in Group Comparisons on a Binary Outcome: Covariate Adjustment or Analysis of Change? Gerard J. P. Van Breukelen. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

Covariate adjustment in randomized trials: An overview - Stuart J Pocock, 2026 This article aims to provide a practical overview of the various methods of covariate adjustment in randomized clinical trials leading to recommendation for fut...

Covariate adjustment in randomized trials: An overview. Stuart J Pocock. Clinical Trials. journals.sagepub.com/doi/full/10....

Random effect restricted mean survival time model The restricted mean survival time (RMST) model has gained attention as a clinically intuitive measure of mean survival time. RMST models, which apply methods based on pseudo time-to-event values an...

Random effect restricted mean survival time model. Keisuke Hanada, Masahiro Kojima. Journal of Biopharmaceutical Statistics. www.tandfonline.com/doi/full/10....

Enhanced doubly robust estimation in clinical trials accounting for intercurrent events. Junyi Zhang, Ao Yuan, Chenguang Wang, Jing-Ou Liu, Ming T. Tan. Journal of Biopharmaceutical Statistics. www.tandfonline.com/doi/full/10....

Enhancing the performance of the likelihood ratio test for small and moderate samples The likelihood ratio (LR) test is the ultimate statistical tool for evaluating two competing point hypotheses based on observed data, with a wide range of applications. Although the LR test offers ...

Enhancing the performance of the likelihood ratio test for small and moderate samples. Claudio J. Tablada, Pedro R. D. Marinho, Rodrigo B. Silva, Renilma P. Silva, Vera L. D. Tomazella. Communications in Statistics - Theory and Methods. www.tandfonline.com/doi/full/10....

A geometrically intuitive framework for the synthesis method in non-inferiority trials The classical approach to non-inferiority (NI), known as the fixed margin method (FMM), uses a pre-defined NI margin (M). Non-inferiority is concluded if the lower bound of the confidence interval ...

A geometrically intuitive framework for the synthesis method in non-inferiority trials. Alberto Garcia-Hernandez, Paul Meyvisch. Journal of Biopharmaceutical Statistics. www.tandfonline.com/doi/full/10....

A note on the Cox-model based partial likelihood for change-point detection in a covariate Change-point detection has been widely utilized in real-world data analysis. Many related detection methods are based on the maximization of likelihood, which is generally the product of the likeli...

A note on the Cox-model based partial likelihood for change-point detection in a covariate. Yulin Zhou, Yixin Zhang, Kui Jin, Mengping Zhang, Yinglei Lai. Communications in Statistics - Theory and Methods.　www.tandfonline.com/doi/full/10....

Longitudinal Extension of the Win Odds for Ordinal Repeated Measurements Initially proposed for analyzing composite endpoints, the win odds have recently received increasing interest for the analysis of ordinal outcomes. When comparing an ordinal outcome between two group...

Longitudinal Extension of the Win Odds for Ordinal Repeated Measurements. Yongxi Long, Bart C. Jacobs, Ewout W. Steyerberg, Erik W. van Zwet. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

Bayesian analysis in confirmatory clinical trials: A narrative review and discussion of current practice. Rebecca M Turner, Conor D Tweed, Trinh Duong, Deborah Ford, Michelle N Clements, Mahesh KB Parmar, Anna Turkova, Ian R White. Clinical Trials. journals.sagepub.com/doi/full/10....

Beyond weighting: Propensity score modeling for causal inference - Rong J.B. Zhu, 2026 Propensity score weighting is a common method in causal inference methods. However, this approach faces two well-known challenges: (i) high variance due to smal...

Beyond weighting: Propensity score modeling for causal inference. Rong J.B. Zhu. Statistical Methods in Medical Research. journals.sagepub.com/doi/abs/10.1...

Powering RCTs for Marginal Effects With GLMs Using Prognostic Score Adjustment In randomized clinical trials (RCTs), the accurate estimation of marginal treatment effects is crucial for determining the efficacy of interventions. Enhancing the statistical power of these analyses...

Powering RCTs for Marginal Effects With GLMs Using Prognostic Score Adjustment. Emilie Højbjerre-Frandsen, Mark J. van der Laan, Alejandro Schuler. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

Assessing random-effects model fit in meta-analysis using a third-order Cochran statistic. Rose Baker, Dan Jackson. Journal of the Royal Statistical Society Series A: Statistics in Society. doi.org/10.1093/jrss...

Scaffolding Responsible Software Use: Evaluating the Effectiveness of a Causal Inference Tool Statistical methods depend on the satisfaction of assumptions about the data generating process in order for theoretical and demonstrated properties to hold. It is also implicitly assumed that meth...

Scaffolding Responsible Software Use: Evaluating the Effectiveness of a Causal Inference Tool. George Perrett, Jennifer Hill, Anugya Srivastava, Marc Scott. The American Statistician. www.tandfonline.com/doi/full/10....

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The evolving role of placebo in non-inferiority trials: A scoping review. Spencer Cho, Shaheer Nadeem, Valentina Ly, Iman Alhafez, Tim Ramsay, Pil Joo. Clinical Trials. journals.sagepub.com/doi/full/10....

A New Parametric Accelerated Failure Time Model for Semi‐Competing Risks Data In cohort studies, the occurrence of a specific disease is often of main interest. For proper modeling, death as a competing risk should be accounted for. Especially, the “semi-competing” character o...

A New Parametric Accelerated Failure Time Model for Semi‐Competing Risks Data. Antoniya Dineva, Oliver Kuss, Annika Hoyer. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

Inverse Probability Weighting for Recurrent Event Models Recurrent events are common and important clinical trial endpoints in many disease areas, for example, cardiovascular hospitalizations in heart failure, relapses in multiple sclerosis, or exacerbatio...

Inverse Probability Weighting for Recurrent Event Models. Jiren Sun, Tobias Mütze, Tianmeng Lyu. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

Longitudinal modeling of rank-based global outcome. Maomao Ding, Jing Ning, Xuming He, Anne-Marie Wills and Ruosha Li. Statistica Sinica. www3.stat.sinica.edu.tw/statistica/J...

Optimal priors for the discounting parameter of the normalized power prior. Yueqi Shen, Luiz M. Carvalho, Matthew A. Psioda and Joseph G. Ibrahim. Statistica Sinica. www3.stat.sinica.edu.tw/statistica/J...

Discretizing Continuous Event Time Data. Ross, Rachael K.; Rudolph, Jacqueline E.; Zalla, Lauren C.; Lesko, Catherine R. Epidemiology. journals.lww.com/epidem/abstr...

Mind the Gap: Addressing Missing Person Time When Estimating Outcome Incidence in Longitudinal Data. Rudolph, Jacqueline E; Ross, Rachael K; Zalla, Lauren C; Mehta, Shruti H; Kirk, Gregory D; Genberg, Becky L; Lau, Bryana; Lesko, Catherine R. Epidemiology journals.lww.com/epidem/abstr...

Where Do Target Trials Come From? Specifying the Protocol of a Target Trial When Repurposing Data for Causal Inference. Hernán, Miguel A; Dickerman, Barbra A; Swanson, Sonja A; Dahabreh, Issa J. Epidemiology journals.lww.com/epidem/abstr...

Bayesian Random‐Effects Meta‐Analysis of Aggregate Data on Clinical Events To investigate intervention effects on rare events, meta-analysis techniques are commonly applied in order to assess the accumulated evidence. When it comes to adverse effects in clinical trials, the...

Bayesian Random‐Effects Meta‐Analysis of Aggregate Data on Clinical Events. Christian Röver, Qiong Wu, Anja Loos, Tim Friede. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

Using Propensity Score Weighting With Clustered Data When the Treatment Is Applied at the Level of the Cluster and Outcomes Are Assessed at the Level of the Individual: The Observational Analog of Cluster Randomization Trials Propensity score methods allow researchers to mimic some (but not all) of the characteristics of a randomized controlled trial (RCT). Propensity score methods are usually applied to unstructured data...

Using Propensity Score Weighting With Clustered Data When the Treatment Is Applied at the Level of the Cluster and Outcomes Are Assessed at the Level of the Individual: The Observational Analog of Cluster Randomization Trials. Peter C. Austin. Stat Med. onlinelibrary.wiley.com/doi/10.1002/...

Econometrica | Econometric Society Journal | Wiley Online Library Gaussian empirical Bayes methods usually maintain a precision independence assumption: The unknown parameters of interest are independent from the known standard errors of the estimates. This assumpt...

Empirical Bayes When Estimation Precision Predicts Parameters. Jiafeng Chen. Econometrica. onlinelibrary.wiley.com/doi/10.3982/...