R. G. Thomas Lab · UC San Diego Herbert Wertheim School of Public Health
Rigorous biostatistics for clinical trials and applied health research.
Ronald G. Thomas is Professor of Biostatistics at UC San Diego's Herbert Wertheim School of Public Health, working on clinical-trial methodology, longitudinal modeling, and reproducible statistical computing.
Research
Methodological and applied work across clinical-trial design, longitudinal and missing data, and reproducible statistical computing.
Clinical trial design & inference
Adaptive allocation, MMRM power, run-in periods, and multicenter RCT methods for neurology and psychiatry trials; exact procedures, sequential analysis, and error-rate control in multi-endpoint trials.
N-of-1 trials & longitudinal modeling
Nine-paper Statistics in Medicine simulation series on N-of-1 versus parallel-group designs; MMRM specification, robustness to misspecification, and R²-analogues for linear mixed models.
Alzheimer's disease & clinical endpoints
p-tau 217, GFAP trajectories, APOE4 interaction, and MCI-to-AD conversion across ADCS, ADNI, and NACC cohorts; anchor-based MCID estimation for CDR-SB and PSPRS with sample-size implications.
PTSD & military health
Statistical analysis of prazosin RCTs for PTSD nightmares, blast-exposure GFAP biomarkers, and PTSD-to-diabetes causal mediation in veterans.
Statistical computing & methods
ECF-based and Gaussian mixture estimation; ensemble methods for medication-effects prediction; the zzcollab Docker-and-renv framework and open-source R tools for clinical trial research.
Lab members
A small team focused on biostatistical methodology, clinical trials, and applied health-sciences research.
Ronald G. Thomas, PhD
Director
Professor, UC San Diego Herbert Wertheim School of Public Health. Statistical methodology for clinical trials, longitudinal data, and applied health-sciences research.
Publications
Peer-reviewed methodological and applied research in biostatistics, clinical trials, and health-sciences research. 402 publications across five domains.
Curriculum Project
A six-volume graduate textbook series in biostatistics, computing, and applied health-sciences research.
Teaching
Active courses and workshops in biostatistics, statistical computing, and reproducible research at UC San Diego.
Course materials and lecture notes are captured in the Curriculum Project textbooks above; per-course materials are on GitHub.
- PHB 228 — Statistical Computing for Biostatistics (UC San Diego School of Public Health). github.com/rgt47/phb228-course
- PHB 243b — Practicum in Biostatistics (UC San Diego School of Public Health). github.com/rgt47/b02
- PHB 280 — Biostatistics Journal Club (UC San Diego School of Public Health). github.com/rgt47/phb280-journal-club
- Workshops — R, Quarto, reproducible-research tooling, and generative-AI in applied health-sciences research.
Software
Open-source R packages, command- line tools, and editor integrations developed for clinical-trial methodology, reproducible research, and statistical computing. All hosted on GitHub.
News & updates
Recent activity from the lab — publications, talks, and software.
Blog
Notes on R, statistical computing, and applied biostatistics.