LabCompass

Jason C. Hsu

Mathematics · The Ohio State University

Established · publishing since 1977

Publications

172

Citations

5,512

Est. group size

Recurring co-author estimate

Active years

50

Publishing since 1977

Research summary
AI-generated

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.

Multiple comparisons and multiple testingSubgroup identification in clinical trialsCausal inference for treatment effect estimationBiomarker and diagnostic test statisticsPrecision/personalized medicine statistical methods

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

Publication cadence
Publications per year over the last 10 years — averaging 1.6/year recently
172018: 2 publications182019: 2 publications192020: 1 publication202021: 10 publications10212022: 3 publications22232024: 3 publications242025: 1 publication252026: 1 publication26
Recent publications
Publishes in
  • Biometrical Journal×7
  • arXiv (Cornell University)×2
  • Children×1
  • The Annals of Applied Statistics×1
  • Statistics in Medicine×1
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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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