Stanford Root

Schedule

Stanford Root

Schedule

BMDS 250

Clinical Trial Design in the Age of Precision Medicine

UNITS:3
GRADING:Medical Option (Med-Ltr-CR/NC)
LEVEL:Graduate
GER:—

This course offers an overview of statistical foundation for modern clinical trial design in precision medicine research. Starting from a quick review of traditional clinical development paradigm through Phase I to III clinical trials for medical product approval and Phase IV post-marketing studies for safety evaluation, and challenges in the time and society costs, we will introduce recently developed innovative designs and their statistical methodology across all phases of clinical trials. You expected to learn the statistical considerations for novel phase I-II trial designs, master protocols for umbrella, platform and basket trials, adaptive and enrichment designs including subgroup selections, estimand, surrogate and composite endpoints, integration of real-world evidence and patient-focused medical product development, and meta-analysis of clinical trial endpoints. Prerequisites: Working knowledge of statistics and R.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 26869
0 / 999 enrolled
DAYS:TBD
TIME:TBD
LOCATION:TBD
INSTRUCTOR:
Shih, Mei-Chiung, Tian, Lu, Goto, Ryan, Lu, Ying
3units

BMDS 250: Clinical Trial Design in the Age of Precision Medicine

3 units · Medical Option (Med-Ltr-CR/NC)

This course offers an overview of statistical foundation for modern clinical trial design in precision medicine research. Starting from a quick review of traditional clinical development paradigm through Phase I to III clinical trials for medical product approval and Phase IV post-marketing studies for safety evaluation, and challenges in the time and society costs, we will introduce recently developed innovative designs and their statistical methodology across all phases of clinical trials. You expected to learn the statistical considerations for novel phase I-II trial designs, master protocols for umbrella, platform and basket trials, adaptive and enrichment designs including subgroup selections, estimand, surrogate and composite endpoints, integration of real-world evidence and patient-focused medical product development, and meta-analysis of clinical trial endpoints. Prerequisites: Working knowledge of statistics and R.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Lecture — TBA TBA — Shih, Mei-Chiung, Tian, Lu, Goto, Ryan, Lu, Ying (Graduate)

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  • BMDS 238: Using Real-World Data for Clinical and Population Health Research  (EPI 265, PSYC 265)
  • BMDS 241: Intermediate Biostatistics: Analysis of Discrete Data (EPI 261, STATS 261)
  • BMDS 243: Foundations of Statistical and Scientific Inference (EPI 264, STATS 264)
  • BMDS 244: Methods for Reproducible Population Health and Clinical Research (CS 272H, EPI 203, HRP 203)
  • BMDS 245: Computational Biology: Structure and Organization of Biomolecules and Cells (BIOE 279, BIOPHYS 279, CME 279, CS 279)
  • BMDS 246: Meta-research: Appraising Research Findings, Bias, and Meta-analysis (CHPR 206, EPI 206, MED 206, STATS 211)
  • BMDS 252: Survival Analysis (STATS 331)
  • BMDS 260: Computational Methods for Biomedical Image Analysis and Interpretation (BMP 260, CS 235, RAD 260)
  • BMDS 271: Foundation Models for Healthcare (CS 277, RAD 271)
  • BMDS 272: Healthcare Acceleration: Artificial Intelligence (DESIGN 266)
  • BMDS 273: Deep Learning in Genomics and Biomedicine (CS 273B, GENE 236)
  • BMDS 276: Advanced Topics in Computer Vision and Biomedicine (CS 286)

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