Triad sou.
triadsou.bsky.social
Triad sou.
@triadsou.bsky.social
Biostatistician, Bioinformatician.

My interests: Biostatistics, Bioinformatics, Survival Analysis, Meta-analysis, Diagnostic Statistics, and Causal Inference. https://linktr.ee/tridasou
Pinned
I am truly grateful for acknowledging our work. The proposed method in this paper is one of my favorite research achievements!

Prediction intervals for random-effects meta-analysis. nshi-stat.github.io/pimeta/
A New Approach to the Nonparametric Behrens–Fisher Problem With Compatible Confidence Intervals. Stephen Schüürhuis, Frank Konietschke, Edgar Brunner. Biometrical Journal. onlinelibrary.wiley.com/doi/10.1002/...
onlinelibrary.wiley.com
November 10, 2025 at 1:53 PM
The Natural Value of Treatment and Its Importance for Causal Inference. Aaron L. Sarvet and Mats J. Stensrud. Annual Review of Statistics and Its Application. www.annualreviews.org/content/jour...
The Natural Value of Treatment and Its Importance for Causal Inference
The natural treatment value (NTV) is the value a treatment takes when it is not altered by an intervention. This observable random variable is foundational to statistical causal inference. On the one ...
www.annualreviews.org
November 8, 2025 at 5:36 PM
Independent Increments and Group Sequential Tests. Anastasios A. Tsiatis, Marie Davidian. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...
Independent Increments and Group Sequential Tests
Widely used methods and software for group sequential tests of a null hypothesis of no treatment difference that allow for early stopping of a clinical trial depend primarily on the fact that sequent...
onlinelibrary.wiley.com
November 8, 2025 at 5:35 PM
Current practice on covariate adjustment and stratified analysis —based on survey results by ASA oncology estimand working group conditional and marginal effect task force. Wei, Mozumder, Li, Xi, Xu, Lin, Sverdlov, Chipman. BMC Med Res Methodol. bmcmedresmethodol.biomedcentral.com/articles/10....
Current practice on covariate adjustment and stratified analysis —based on survey results by ASA oncology estimand working group conditional and marginal effect task force - BMC Medical Research Metho...
Background The 2023 FDA's guidance on covariate adjustment encourages the judicious use of baseline covariates to enhance efficiency. However, when performing covariate adjustment in non-linear models...
bmcmedresmethodol.biomedcentral.com
November 6, 2025 at 2:21 PM
The rapid growth in Mendelian randomization studies. Gibran Hemani, Stefan Stender, Frank J. Wolters, Albert Hofman & George Davey Smith. European Journal of Epidemiology. link.springer.com/article/10.1...
The rapid growth in Mendelian randomization studies - European Journal of Epidemiology
European Journal of Epidemiology -
link.springer.com
November 6, 2025 at 2:20 PM
A review of use of external data and update on reporting standards in Sequential Multiple-Assignment Randomised Trials. Isaac J Egesa, Laura Bonnett, Richard Emsley, Anthony Marson, Catrin T Smith. Clinical Trials. journals.sagepub.com/doi/full/10....
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
journals.sagepub.com
November 6, 2025 at 2:19 PM
COADVISE: covariate adjustment with variable selection in randomized controlled trials. Yi Liu, Ke Zhu, Larry Han, Shu Yang. Journal of the Royal Statistical Society Series A: Statistics in Society. doi.org/10.1093/jrss...
COADVISE: covariate adjustment with variable selection in randomized controlled trials
Abstract. Adjusting for covariates in randomized controlled trials can enhance the credibility and efficiency of treatment effect estimation. However, hand
doi.org
November 6, 2025 at 3:11 AM
Using inverse probability of censoring weighting to estimate hypothetical estimands in clinical trials: Should we implement stabilisation, and if so how? Xuan, Mt-Isa, Latimer, Gorrod, Malbecq, Vandormael, Yorke-Edwards, White. Stat Method Med Res. journals.sagepub.com/doi/full/10....
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
journals.sagepub.com
November 3, 2025 at 1:30 PM
Clarifying the role of the Mantel–Haenszel risk difference estimator in randomized clinical trials. Xiaoyu Qiu, Yuhan Qian, Jaehwan Yi, Jinqiu Wang, Yu Du, Yanyao Yi, Ting Ye. Biometrics. doi.org/10.1093/biom...
Clarifying the role of the Mantel–Haenszel risk difference estimator in randomized clinical trials
ABSTRACT. The Mantel–Haenszel (MH) risk difference estimator, commonly used in randomized clinical trials for binary outcomes, calculates a weighted averag
doi.org
November 1, 2025 at 3:38 AM
Pseudo-Observation Approach for Length-Biased Cox Proportional Hazards Model. Mahboubeh Akbari, Najmeh Nakhaei Rad, Ding-Geng Chen. Biometrical Journal. onlinelibrary.wiley.com/doi/10.1002/...
onlinelibrary.wiley.com
November 1, 2025 at 3:35 AM
Sample size estimation for the averted events ratio. David T Dunn, Oliver T Stirrup, David V Glidden. Clinical Trials. journals.sagepub.com/doi/full/10....
Sample size estimation for the averted events ratio - David T Dunn, Oliver T Stirrup, David V Glidden, 2025
Background: The averted events ratio (AER) is a recently developed estimand for non-inferiority active-control prevention trials with a time-to-event outcome. I...
journals.sagepub.com
October 27, 2025 at 1:22 AM
Tutorial in Biostatistics

ChatGPT as a Tool for Biostatisticians: A Tutorial on Applications, Opportunities, and Limitations. Dobler, Binder, Boulesteix, Igelmann, Köhler, Mansmann, Pauly, Scherag, Schmid, Tawil, Weber. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...
ChatGPT as a Tool for Biostatisticians: A Tutorial on Applications, Opportunities, and Limitations
This article is the main paper for a commentary article: https://doi.org/10.1002/sim.70271
onlinelibrary.wiley.com
October 24, 2025 at 8:42 AM
Book Review: Linear Mixed Models. A Practical Guide Using Statistical Software, 3rd ed. Brady T West, Kathleen B Welch, Andrzej T Galecki CRC Press 2022, 490 pages. academic.oup.com/jrsssa/advan...
Linear Mixed Models. A Practical Guide Using Statistical Software
This book focuses on the fitting of linear mixed-effects models (LMMs) via five commonly used statistical packages—SAS, SPSS, R, Stata, and HLM; although t
academic.oup.com
October 23, 2025 at 12:42 AM
Tutorial in Biostatistics

Measuring Agreement in Diagnostics: A Practical Guide for Researchers. Sophie Vanbelle, Christina Hernandez Engelhart, Ellen Blix. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...
Measuring Agreement in Diagnostics: A Practical Guide for Researchers
Healthcare professionals routinely perform clinical examinations and diagnostic assessments. How the findings of these assessments are interpreted can have significant implications for patient care a...
onlinelibrary.wiley.com
October 18, 2025 at 12:36 PM
Effect Aliasing in Observational Studies. Paul R. Rosenbaum, José R. Zubizarreta. Journal of the American Statistical Association. www.tandfonline.com/doi/full/10....
Effect Aliasing in Observational Studies
In experimental design, aliasing of effects occurs in fractional factorial experiments, where certain low order factorial effects are indistinguishable from certain high order interactions: low ord...
www.tandfonline.com
October 18, 2025 at 12:31 PM
Regression Models with Interval-Censored Variables. Guadalupe Gómez Melis, Ramon Oller, Klaus Langohr. Annual Review of Statistics and Its Application. www.annualreviews.org/content/jour...
Regression Models with Interval-Censored Variables
Survival analysis is essential for modeling time-to-event data across various fields, including medicine, engineering, and the social sciences. A major challenge in this field is handling censored dat...
www.annualreviews.org
October 16, 2025 at 11:05 AM
Boosting Prediction with Data Missing Not at Random. Yuan Bian, Grace Y. Yi, Wenqing He. Journal of Computational and Graphical Statistics. www.tandfonline.com/doi/full/10....
Boosting Prediction with Data Missing Not at Random
Boosting has emerged as a useful machine learning technique over the past three decades, attracting increased attention. Most advancements in this area, however, have primarily focused on numerical...
www.tandfonline.com
October 13, 2025 at 1:54 AM
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/...
Rethinking the Handling of Method Failure in Comparison Studies
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 ....
onlinelibrary.wiley.com
October 13, 2025 at 1:45 AM
Estimating and Evaluating Counterfactual Prediction Models. Christopher B. Boyer, Issa J. Dahabreh, Jon A. Steingrimsson. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...
Estimating and Evaluating Counterfactual Prediction Models
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...
onlinelibrary.wiley.com
October 9, 2025 at 3:41 AM
Sensitivity Analysis for Observational Studies with Flexible Matched Designs. Xinran Li. Biometrika. doi.org/10.1093/biom...
Sensitivity Analysis for Observational Studies with Flexible Matched Designs
Abstract. Observational studies provide invaluable opportunities to draw causal inference, but they may suffer from biases due to pretreatment differences
doi.org
October 9, 2025 at 3:40 AM
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...
www.tandfonline.com
October 9, 2025 at 3:39 AM
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...
On the asymptotic validity of confidence sets for linear functionals of solutions to integral equations
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
October 8, 2025 at 12:57 AM
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
October 8, 2025 at 12:57 AM
[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
October 6, 2025 at 11:52 AM
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
October 4, 2025 at 12:07 PM