Triad sou.
@triadsou.bsky.social
Biostatistician, Bioinformatician.
My interests: Biostatistics, Bioinformatics, Survival Analysis, Meta-analysis, Diagnostic Statistics, and Causal Inference. https://linktr.ee/tridasou
My interests: Biostatistics, Bioinformatics, Survival Analysis, Meta-analysis, Diagnostic Statistics, and Causal Inference. https://linktr.ee/tridasou
Pinned
Triad sou.
@triadsou.bsky.social
· Aug 19
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/
Prediction intervals for random-effects meta-analysis. nshi-stat.github.io/pimeta/
Asymptotic Validity and Finite-Sample Properties of Approximate Randomization Tests. P Toulis. Biometrika. doi.org/10.1093/biom...
Asymptotic Validity and Finite-Sample Properties of Approximate Randomization Tests
Abstract. Randomization tests rely on simple data transformations and possess an appealing robustness property. In addition to being finite-sample valid if
doi.org
November 27, 2025 at 1:11 PM
Asymptotic Validity and Finite-Sample Properties of Approximate Randomization Tests. P Toulis. Biometrika. doi.org/10.1093/biom...
Bad Estimation, Good Prediction: The Lasso in Dense Regimes. Andrea Bratsberg, Magne Thoresen & Jelle J. Goeman. The American Statistician. www.tandfonline.com/doi/full/10....
Bad Estimation, Good Prediction: The Lasso in Dense Regimes
For high-dimensional omics data, sparsity-inducing regularization methods such as the Lasso are widely used and often yield strong predictive performance, even in settings when the assumption of sp...
www.tandfonline.com
November 23, 2025 at 3:08 AM
Bad Estimation, Good Prediction: The Lasso in Dense Regimes. Andrea Bratsberg, Magne Thoresen & Jelle J. Goeman. The American Statistician. www.tandfonline.com/doi/full/10....
Recovery of overall survival information from treatment switching in oncology trials using multiple imputation. Jianbo Xu. Journal of Biopharmaceutical Statistics. www.tandfonline.com/doi/full/10....
Recovery of overall survival information from treatment switching in oncology trials using multiple imputation
In oncology trials, patients in both the control and experimental arms can receive different subsequent anti-cancer therapies (SATs) after discontinuing their randomized study drugs, a phenomenon c...
www.tandfonline.com
November 22, 2025 at 1:07 PM
Recovery of overall survival information from treatment switching in oncology trials using multiple imputation. Jianbo Xu. Journal of Biopharmaceutical Statistics. www.tandfonline.com/doi/full/10....
Covariate selection strategies and estimands - a review of current practice of risk factor analysis from a causal perspective. Ragna Reinhammar & Ingeborg Waernbaum. BMC Medical Research Methodology. bmcmedresmethodol.biomedcentral.com/articles/10....
Covariate selection strategies and estimands - a review of current practice of risk factor analysis from a causal perspective - BMC Medical Research Methodology
In applied epidemiological studies, the term “risk factor” is used synonymously with both predictors and causal factors for disease, although causal aims of explanatory analyses are rarely stated expl...
bmcmedresmethodol.biomedcentral.com
November 19, 2025 at 1:07 PM
Covariate selection strategies and estimands - a review of current practice of risk factor analysis from a causal perspective. Ragna Reinhammar & Ingeborg Waernbaum. BMC Medical Research Methodology. bmcmedresmethodol.biomedcentral.com/articles/10....
Book Review: ROC Analysis for Classification and Prediction in Practice. C T Nakas, L E Bantis, and C A Gatsonis. Chapman and Hall 2023, 234 pp. academic.oup.com/jrsssa/advan...
Validate User
academic.oup.com
November 18, 2025 at 3:40 PM
Book Review: ROC Analysis for Classification and Prediction in Practice. C T Nakas, L E Bantis, and C A Gatsonis. Chapman and Hall 2023, 234 pp. academic.oup.com/jrsssa/advan...
Key Concepts in Clinical Epidemiology
Estimands: what they are and why we should use them. Brennan C. Kahan, Declan Devane. Journal of Clinical Epidemiology. www.sciencedirect.com/science/arti...
Estimands: what they are and why we should use them. Brennan C. Kahan, Declan Devane. Journal of Clinical Epidemiology. www.sciencedirect.com/science/arti...
Estimands: what they are and why we should use them
In clinical trials, post-randomisation events, such as treatment discontinuation or the use of rescue medication, can complicate the interpretation of…
www.sciencedirect.com
November 16, 2025 at 5:00 PM
Key Concepts in Clinical Epidemiology
Estimands: what they are and why we should use them. Brennan C. Kahan, Declan Devane. Journal of Clinical Epidemiology. www.sciencedirect.com/science/arti...
Estimands: what they are and why we should use them. Brennan C. Kahan, Declan Devane. Journal of Clinical Epidemiology. www.sciencedirect.com/science/arti...
Evaluating Causal Effects on Time-to-Event Outcomes in an RCT in Oncology With Treatment Discontinuation. Veronica Ballerini, Björn Bornkamp, Fabrizia Mealli, Craig Wang, Yufen Zhang, Alessandra Mattei. Biometrical Journal. onlinelibrary.wiley.com/doi/10.1002/...
Evaluating Causal Effects on Time‐to‐Event Outcomes in an RCT in Oncology With Treatment Discontinuation
In clinical trials, patients may discontinue treatments prematurely, breaking the initial randomization. In our motivating study, a randomized controlled trial in oncology, patients assigned the inve....
onlinelibrary.wiley.com
November 15, 2025 at 5:31 AM
Evaluating Causal Effects on Time-to-Event Outcomes in an RCT in Oncology With Treatment Discontinuation. Veronica Ballerini, Björn Bornkamp, Fabrizia Mealli, Craig Wang, Yufen Zhang, Alessandra Mattei. Biometrical Journal. onlinelibrary.wiley.com/doi/10.1002/...
Proper Scoring Rules for Estimation and Forecast Evaluation. Kartik Waghmare, Johanna Ziegel. Annual Review of Statistics and Its Application. www.annualreviews.org/content/jour...
Proper Scoring Rules for Estimation and Forecast Evaluation
Proper scoring rules have been a subject of growing interest in recent years, not only as tools for evaluation of probabilistic forecasts but also as methods for estimating probability distributions. ...
www.annualreviews.org
November 15, 2025 at 5:30 AM
Proper Scoring Rules for Estimation and Forecast Evaluation. Kartik Waghmare, Johanna Ziegel. Annual Review of Statistics and Its Application. www.annualreviews.org/content/jour...
Group Sequential Design and Monitoring of Clustered Data in Randomized Eye Trials. Guoqing Diao, Qiang Zhang, Toshimitsu Hamasaki & Scott Evans. Statistics in Biopharmaceutical Research. www.tandfonline.com/doi/full/10....
Group Sequential Design and Monitoring of Clustered Data in Randomized Eye Trials
Group sequential designs are the most commonly used methods for randomized clinical trials with interim monitoring plans, which control the Type I error rate and protect statistical power. However,...
www.tandfonline.com
November 15, 2025 at 12:32 AM
Group Sequential Design and Monitoring of Clustered Data in Randomized Eye Trials. Guoqing Diao, Qiang Zhang, Toshimitsu Hamasaki & Scott Evans. Statistics in Biopharmaceutical Research. www.tandfonline.com/doi/full/10....
Model-Twin Randomization (MoTR) for Estimating the Recurring Individual Treatment Effect. Eric J. Daza, Igor Matias, Logan Schneider. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...
Model‐Twin Randomization (MoTR) for Estimating the Recurring Individual Treatment Effect
Temporally dense single-person “small data” have become widely available thanks to mobile apps and wearable sensors. Many caregivers and self-trackers want to use these data to help a specific person...
onlinelibrary.wiley.com
November 13, 2025 at 10:16 AM
Model-Twin Randomization (MoTR) for Estimating the Recurring Individual Treatment Effect. Eric J. Daza, Igor Matias, Logan Schneider. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...
Linear Model Estimation and Prediction for p > n. Ronald Christensen. The American Statistician. www.tandfonline.com/doi/full/10....
Linear Model Estimation and Prediction for p > n
We consider ordinary least squares estimation and variations on least squares estimation such as penalized (regularized) least squares and spectral shrinkage estimates for problems with p>n and ass...
www.tandfonline.com
November 12, 2025 at 4:08 PM
Linear Model Estimation and Prediction for p > n. Ronald Christensen. The American Statistician. www.tandfonline.com/doi/full/10....
On “Confirmatory” Methodological Research in Statistics and Related Fields. F. J. D. Lange, Juliane C. Wilcke, Sabine Hoffmann, Moritz Herrmann, Anne-Laure Boulesteix. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...
On “Confirmatory” Methodological Research in Statistics and Related Fields
Empirical substantive research, such as in the life or social sciences, is commonly categorized into the two modes exploratory and confirmatory, both of which are essential to scientific progress. Th...
onlinelibrary.wiley.com
November 11, 2025 at 5:54 PM
On “Confirmatory” Methodological Research in Statistics and Related Fields. F. J. D. Lange, Juliane C. Wilcke, Sabine Hoffmann, Moritz Herrmann, Anne-Laure Boulesteix. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...
Book Review: Bayesian Precision Medicine. Peter F Thall. Chapman & Hall 2024, 330 pp. doi.org/10.1093/jrss...
Bayesian Precision Medicine
Bayesian statistical methods are in the process of revolutionizing clinical trials in oncology and all of medicine. This book, written by a world leader in
doi.org
November 11, 2025 at 5:27 PM
Book Review: Bayesian Precision Medicine. Peter F Thall. Chapman & Hall 2024, 330 pp. doi.org/10.1093/jrss...
Book Review: Causal Inference in Pharmaceutical Statistics. Yixin Fang. Chapman & Hall. 2024, 246 pp. doi.org/10.1093/jrss...
Causal Inference in Pharmaceutical Statistics
The stated objective of this book is to educate the pharmaceutical statistician about causal inference. To this end, the author is very successful. Many in
doi.org
November 11, 2025 at 5:25 PM
Book Review: Causal Inference in Pharmaceutical Statistics. Yixin Fang. Chapman & Hall. 2024, 246 pp. doi.org/10.1093/jrss...
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
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/...
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
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...
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
Independent Increments and Group Sequential Tests. Anastasios A. Tsiatis, Marie Davidian. Statistics in Medicine. onlinelibrary.wiley.com/doi/10.1002/...
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
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....
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
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...
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
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....
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
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...
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
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....
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
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...
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
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/...
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
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....