Jason C. Hsu
Mathematics · The Ohio State University
Publications
172
Citations
5,512
Est. group size
—
Recurring co-author estimate
Active years
50
Publishing since 1977
Jason C. Hsu works on statistical methods for clinical trials, especially multiple comparison procedures, subgroup identification, biomarker cut-point selection, and causal inference for treatment effects in randomized controlled trials. His work aims to help researchers rigorously determine which patient subgroups or biomarkers respond best to treatments, particularly in drug development and precision medicine contexts. He has also contributed edited volumes and reviews on multiple testing and statistical issues in clinical trial design.
Publication output was low and sporadic in the mid-2010s, spiked notably in 2021, and has since settled into a modest, uneven pace of about 1-3 papers per year.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Identifying the Best Predictive Biomarker in Pharmacogenomics Through Multiple Comparisons With the Best
Biometrical Journal · 2026
- <scp><i>Counterfactual</i></scp> Uncertainty Quantification of <scp><i>Factual</i></scp> Estimand of Efficacy From Before‐and‐After Treatment Repeated Measures Randomized Controlled Trials
Statistical Analysis and Data Mining The ASA Data Science Journal · 2025
- Editorial: Artificial intelligence in infectious diseases: pathogenesis and therapy
Frontiers in Medicine · 2024
- Kicking the Elephant Out of the Room: The Case for EMs ex-China
The Journal of Beta Investment Strategies · 2024
- Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy from Before-and-After Treatment Repeated Measures Randomized Controlled Trials
arXiv (Cornell University) · 2024
- Confident Statistical Inference with Multiple Outcomes, Subgroups, and Other Issues of Multiplicity
2022
- Special issue on multiple comparisons (MCP 2019)
Biometrical Journal · 2022
- Statistical issues in drug development, third edition. Stephen S.SennNew Jersey: John Wiley and Sons, Ltd., 2021. ISBN: 978‐1‐119‐23857‐7.
Biometrics · 2022
- Handbook of Multiple Comparisons
2021
- Botulinum Toxin Injections for Treatment of Drooling in Children with Cerebral Palsy: A Systematic Review and Meta-Analysis
Children · 2021
- Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials
Biometrical Journal · 2021
- Identification and inference for subgroups with differential treatment efficacy from randomized controlled trials with survival outcomes through multiple testing
Statistics in Medicine · 2021
- Exact simultaneous confidence intervals for logical selection of a biomarker cut‐point
Biometrical Journal · 2021
- Subgroups Analysis for Personalized and Precision Medicine Development
2021
- Rejoinder for discussions on correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials
Biometrical Journal · 2021
- Biometrical Journal×7
- arXiv (Cornell University)×2
- Children×1
- The Annals of Applied Statistics×1
- Statistics in Medicine×1
- Stephen J. Ruberg
Mathematics · Purdue University West Lafayette
- Yong Zang
Mathematics · Indiana University
- Paula Garcia
Mathematics · The Ohio State University
- Eloise Kaizar
Mathematics · The Ohio State University
- Iztok Hozo
Economics, Econometrics and Finance · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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