LabCompass

Stephen J. Ruberg

Mathematics · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1980
Statistical Methods in Clinical TrialsHealth Systems, Economic Evaluations, Quality of LifeAdvanced Causal Inference TechniquesOptimal Experimental Design MethodsStatistical Methods and Inference

Publications

111

Citations

2,715

Est. group size

—

Recurring co-author estimate

Active years

47

Publishing since 1980

Research summary
AI-generated

Stephen J. Ruberg works on statistical methods for clinical trials, with a particular focus on 'estimands' — precise definitions of what a clinical trial is actually trying to measure and how to handle complications like dropouts or treatment switching. His work also covers related topics such as causal inference, Bayesian statistical approaches, and methods for detecting whether treatments work differently across patient subgroups.

Clinical trial statistics and designEstimands and handling intercurrent eventsCausal inference in medical researchBayesian methods in drug developmentTreatment effect heterogeneity

Publication output has been variable but generally steady over the last decade, with a recent sharp increase in output around 2026, largely tied to a book-length series of related works.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.6/year recently
2017: 2 publications172018: 1 publication182019: 2 publications192020: 6 publications202021: 7 publications212022: 3 publications222023: 7 publications232024: 4 publications242025: 2 publications252026: 12 publications1226
Recent publications
Publishes in
  • arXiv (Cornell University)×7
  • Pharmaceutical Statistics×6
  • Statistics in Biopharmaceutical Research×5
  • Nature Reviews Drug Discovery×2
  • Clinical Pharmacology & Therapeutics×2
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By research-topic overlap

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 20, 2026.

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