Stanford Root

Schedule

Stanford Root

Schedule

STATS 203

Regression Models and Analysis of Variance

UNITS:3
GRADING:Letter or Credit/No Credit
LEVEL:Graduate
GER:—

Modeling and interpretation of observational and experimental data using linear and nonlinear regression methods. Model building and selection methods. Multivariable analysis. Fixed and random effects models. Experimental design.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

2 Terms
Lecture 1Open
ID: 7754
0 / 75 enrolled
DAYS:Tuesday, Thursday
TIME:10:30 AM – 11:50 AM
LOCATION:300-300
INSTRUCTOR:
Bodik, Juraj
3units

STATS 203: Regression Models and Analysis of Variance

3 units · Letter or Credit/No Credit

Modeling and interpretation of observational and experimental data using linear and nonlinear regression methods. Model building and selection methods. Multivariable analysis. Fixed and random effects models. Experimental design.

Offered in Autumn 2026, Spring 2027 at Stanford University.

Autumn 2026 sections

  • Lecture — Tuesday Thursday 10:30 AM – 11:50 AM — 300-300 — Bodik, Juraj (Graduate)

Spring 2027 sections

  • Lecture — Monday Wednesday 3:00 PM – 4:20 PM — Taylor, Jonathan (Graduate)

More STATS courses

  • STATS 141: Introduction to Statistics for Biology (BIO 141)
  • STATS 191: Introduction to Applied Statistics
  • STATS 199: Independent Study
  • STATS 200: Introduction to Theoretical Statistics
  • STATS 200Q: Philosophical Foundations of Statistics (DATASCI 200Q)
  • STATS 202: Statistical Learning and Data Science
  • STATS 205: Introduction to Nonparametric Statistics
  • STATS 207: Time Series Analysis (STATS 307)
  • STATS 208: Resampling Methods: Bootstrap, Cross Validation and Beyond
  • STATS 209: Introduction to Causal Inference
  • STATS 211: Meta-research: Appraising Research Findings, Bias, and Meta-analysis (BMDS 246, CHPR 206, EPI 206, MED 206)
  • STATS 217: Introduction to Stochastic Processes I

All STATS courses · All departments