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Rethinking the Handling of Method Failure in Comparison Studies

Triad sou. @triadsou.bsky.social · 12h

Rethinking the Handling of Method Failure in Comparison Studies. Milena Wünsch, Moritz Herrmann, Elisa Noltenius, Mattia Mohr, Tim P. Morris, Anne-Laure Boulesteix. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

Comparison studies in methodological research are intended to compare methods in an evidence-based manner to help data analysts select a suitable method for their application. To provide trustworthy ....

Estimating and Evaluating Counterfactual Prediction Models

Triad sou. @triadsou.bsky.social · 4d

Estimating and Evaluating Counterfactual Prediction Models. Christopher B. Boyer, Issa J. Dahabreh, Jon A. Steingrimsson. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

Counterfactual prediction methods are required when a model will be deployed in a setting where treatment policies differ from the setting where the model was developed, or when a model provides pred...

Sensitivity Analysis for Observational Studies with Flexible Matched Designs

Triad sou. @triadsou.bsky.social · 4d

Sensitivity Analysis for Observational Studies with Flexible Matched Designs. Xinran Li. Biometrika. doi.org/10.1093/biom...

Abstract. Observational studies provide invaluable opportunities to draw causal inference, but they may suffer from biases due to pretreatment differences

doi.org

Triad sou. @triadsou.bsky.social · 4d

Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence. Fang, Mishra-Kalyani, Zhang, Gruber, Yang, Ding, Shan, Lee, van der Laan, Faries, Lee. Statistics in Biopharmaceutical Research. www.tandfonline.com/doi/full/10....

Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence

The American Statistical Association Biopharmaceutical Section (ASA BIOP) scientific working group on real-world evidence (RWE) has been making continuous, extended efforts toward a goal of support...

On the asymptotic validity of confidence sets for linear functionals of solutions to integral equations

Triad sou. @triadsou.bsky.social · 5d

On the asymptotic validity of confidence sets for linear functionals of solutions to integral equations. E Smucler, J M Robins, A Rotnitzky. Biometrika. doi.org/10.1093/biom...

Summary. This paper examines the construction of confidence sets for parameters defined as linear functionals of a function of W and X whose conditional me

doi.org

Triad sou. @triadsou.bsky.social · 5d

Estimating treatment effects in trials with outcome data truncated by death: A case study on aligning estimators with estimands. Tra My Pham, Brennan C Kahan, Andre Lopes, Memuna Rashid, Peter J Hoskin, Ian R White. Clinical Trials. journals.sagepub.com/doi/full/10....

Estimating treatment effects in trials with outcome data truncated by death: A case study on aligning estimators with estimands - Tra My Pham, Brennan C Kahan, Andre Lopes, Memuna Rashid, Peter J Hosk...

Background/Aims: Randomised clinical trials assessing treatment effects on health outcomes (e.g. quality of life) can be affected by data truncation by death, w...

journals.sagepub.com

Triad sou. @triadsou.bsky.social · 7d

[2510.01127] Evaluating Informative Cluster Size in Cluster Randomized Trials. Bryan S. Blette, Zhe Chen, Brennan C. Kahan, Andrew Forbes, Michael O. Harhay, Fan Li. arxiv.org/abs/2510.01127

Evaluating Informative Cluster Size in Cluster Randomized Trials

In cluster randomized trials, the average treatment effect among individuals (i-ATE) can be different from the cluster average treatment effect (c-ATE) when informative cluster size is present, i.e., ...

arxiv.org

Triad sou. @triadsou.bsky.social · 9d

Handbook of Statistics in Clinical Oncology, 4th Edition. John Crowley, Antje Hoering, Megan Othus (eds.) Chapman & Hall 2025, 584 Pages. www.routledge.com/Handbook-of-...

Handbook of Statistics in Clinical Oncology

Since the third edition of this Handbook, significant advances have transformed the field of oncology. Most cancer types now offer multiple treatment options, with immunotherapies and targeted therapi...

www.routledge.com

Triad sou. @triadsou.bsky.social · 9d

Group Sequential and Adaptive Methods for Clinical Trials, 2nd Edition. Christopher Jennison, Bruce W. Turnbull. Chapman & Hall 2025, 632 Pages. www.routledge.com/Group-Sequen...

Group Sequential and Adaptive Methods for Clinical Trials

In clinical trials, monitoring accumulating data at regular intervals is essential for balancing ethical and financial considerations against scientific rigor. This comprehensive second edition reflec...

www.routledge.com

Triad sou. @triadsou.bsky.social · 9d

Implementation of the ICH E9 (R1) addendum in vaccine efficacy studies: the hypothetical and principal stratum strategies. Silvia Noirjean, Daniele Bottigliengo, Elisa Cinconze, Ali Charkhi, Toufik Zahaf, Fan Li & Andrea Callegaro. J Biopharm Stat. www.tandfonline.com/doi/full/10....

Integrative Analysis of Multimodal Omics Data

Triad sou. @triadsou.bsky.social · 9d

Integrative Analysis of Multimodal Omics Data. Gen Li, Eric F. Lock. Annual Review of Statistics and Its Application. www.annualreviews.org/content/jour...

With advancements in technology and the decreasing cost of data acquisition, high-throughput omics data have become increasingly prevalent in biomedical research. These data are often collected across...

www.annualreviews.org

Triad sou. @triadsou.bsky.social · 11d

Handling Missingness, Failures, and Non-Convergence in Simulation Studies: A Review of Current Practices and Recommendations. Samuel Pawel, František Bartoš, Björn S. Siepe, Anna Lohmann. The American Statistician. www.tandfonline.com/doi/full/10....

Handling Missingness, Failures, and Non-Convergence in Simulation Studies: A Review of Current Practices and Recommendations

Simulation studies are commonly used in methodological research for the empirical evaluation of data analysis methods. They generate artificial datasets under specified mechanisms and compare the p...

This is not normal! (Re‐) Evaluating the lower n$$ n $$ guidelines for regression analysis

Triad sou. @triadsou.bsky.social · 11d

This is not normal! (Re-) Evaluating the lower n guidelines for regression analysis. David Randahl. Teaching Statistics. onlinelibrary.wiley.com/doi/10.1111/...

The rule of thumb that a sample size of n≥30$$ n\ge 30 $$ is sufficient for valid regression analysis is often cited but rarely scrutinized. This paper evaluates the minimum number of observations re....

Exponential Families in Theory and Practice

Triad sou. @triadsou.bsky.social · 12d

Book Review: Exponential Families in Theory and Practice.
Bradley Efron. Cambridge University Press, 2023, 250 pp. www.tandfonline.com/doi/full/10....

Published in Journal of the American Statistical Association (Ahead of Print, 2025)

Designing Stepped Wedge Cluster Randomized Trials With a Baseline Measurement of the Outcome

Triad sou. @triadsou.bsky.social · 19d

Designing Stepped Wedge Cluster Randomized Trials With a Baseline Measurement of the Outcome. Kendra Davis-Plourde, Keith Goldfeld, Heather Allore, Monica Taljaard, Fan Li. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

Stepped wedge cluster randomized trials (SW-CRTs) are a type of uni-directional crossover designs and are increasingly common in prevention and implementation research. Although sample size formulas ...

Biostatisticians Meet AI: Navigating Shifts While Preserving Principles

Triad sou. @triadsou.bsky.social · 19d

Biostatisticians Meet AI: Navigating Shifts While Preserving Principles. Bin Zhu. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

Click on the article title to read more.

Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes

Triad sou. @triadsou.bsky.social · 21d

[2508.20349] Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes. Zhiqiang Cao, Scott Zuo, Mary Ryan Baumann, Kendra Plourde, Patrick Heagerty, Guangyu Tong, Fan Li. arxiv.org/abs/2508.20349

Ordinal outcomes are common in clinical settings where they often represent increasing levels of disease progression or different levels of functional impairment. Such outcomes can characterize differ...

arxiv.org

Triad sou. @triadsou.bsky.social · 21d

Book Review: Applications of Regression for Categorical Outcomes Using R. David Melamed, Long Doan. Chapman & Hall/CRC Press, 2023, 222 pp. www.tandfonline.com/doi/full/10....

Applications of Regression for Categorical Outcomes Using R.

Published in The American Statistician (Ahead of Print, 2025)

Model‐Robust Standardization in Cluster‐Randomized Trials

Triad sou. @triadsou.bsky.social · 22d

Model-Robust Standardization in Cluster-Randomized Trials. Fan Li, Jiaqi Tong, Xi Fang, Chao Cheng, Brennan C. Kahan, Bingkai Wang. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

In cluster-randomized trials, generalized linear mixed models and generalized estimating equations have conventionally been the default analytic methods for estimating the average treatment effect as....

Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout

Triad sou. @triadsou.bsky.social · 24d

Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual- and Cluster-Level Dropout. Analissa Avila, Beth A. Glenn, Roshan Bastani, Catherine M. Crespi. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

Missing outcome data are common in cluster randomized trials (CRTs), which can complicate inference. Further, the missingness can occur due to dropout of individuals, termed sporadically missing data...

ICH E9(R1) Addendum 5-Year Anniversary – Where Are We with Its Implementation and Where to Go Next?

Triad sou. @triadsou.bsky.social · 25d

ICH E9(R1) Addendum 5-Year Anniversary – Where Are We with Its Implementation and Where to Go Next? Alexei C. Ionan, Elena Polverejan, Shanti Gomatam, Pamela Horn, Yulan Li, Yunfan Deng, Lei Nie, Dali Zhou, Jinglin Zhong. Stat Biopharm Res. www.tandfonline.com/doi/full/10....

Since the finalization of the ICH E9 (R1) Addendum on “Estimands and Sensitivity Analysis in Clinical Trials (Step 4)” in 2019, the implementation of the estimand framework has been playing a criti...

Tutorial on Bayesian Functional Regression Using Stan

Triad sou. @triadsou.bsky.social · 27d

Tutorial in Biostatistics

Tutorial on Bayesian Functional Regression Using Stan. Ziren Jiang, Ciprian Crainiceanu, Erjia Cui. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...

This manuscript provides step-by-step instructions for implementing Bayesian functional regression models using Stan. Extensive simulations indicate that the inferential performance of the methods is...

Handbook of Markov Chain Monte Carlo

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Triad sou. @triadsou.bsky.social · Sep 13

Handbook of Markov Chain Monte Carlo, 2nd Edition. Radu V. Craiu, Dootika Vats, Galin Jones, Steve Brooks, Andrew Gelman, Xiao-Li Meng (eds.) Chapman & Hall 2026, 680 Pages. www.routledge.com/Handbook-of-...

This thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition. With the add...

www.routledge.com

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Triad sou. @triadsou.bsky.social · Sep 12

Finding the Optimal Number of Splits and Repetitions in Double Cross‐Fitting Targeted Maximum Likelihood Estimators. Mohammad Ehsanul Karim, Momenul Haque Mondol. Pharmaceutical Statistics. onlinelibrary.wiley.com/doi/10.1002/...

Finding the Optimal Number of Splits and Repetitions in Double Cross‐Fitting Targeted Maximum Likelihood Estimators

Flexible machine learning algorithms are increasingly utilized in real-world data analyses. When integrated within double robust methods, such as the Targeted Maximum Likelihood Estimator (TMLE), com...