rgtlab

Research, teaching, and writing in biostatistics and applied health-sciences research, by Ryy Thomas and colleagues at UCSD.

Lab members

A small team focused on biostatistical methodology, clinical trials, and applied health-sciences research.

RGT

Ronald 'Ryy' G. Thomas, PhD

Director

Professor, UCSD Herbert Wertheim School of Public Health. Statistical methodology for clinical trials, longitudinal data, and applied health-sciences research.

SS

Staff Statistician

To be named

Position open. Methodological and applied work in clinical trials and longitudinal data analysis.

SS

Staff Statistician

To be named

Position open. Reproducible workflows, software development, and applied statistical computing.

Publications

Peer-reviewed methodological and applied research in biostatistics, clinical trials, and health-sciences research.

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 UCSD.

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 (UCSD School of Public Health). github.com/rgt47/phb228-course
  • PHB 243b — Practicum in Biostatistics (UCSD School of Public Health). github.com/rgt47/b02
  • PHB 280 — Biostatistics Journal Club (UCSD School of Public Health). Materials forthcoming.
  • 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.

Blog

Notes on R, statistical computing, and applied biostatistics.