Stanford Root

Schedule

Stanford Root

Schedule

STATS 211

Meta-research: Appraising Research Findings, Bias, and Meta-analysis (BMDS 246, CHPR 206, EPI 206, MED 206)

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

Open to graduate, medical, and undergraduate students. Appraisal of the quality and credibility of research findings; evaluation of sources of bias. Meta-analysis as a quantitative (statistical) method for combining results of independent studies. Examples from medicine, epidemiology, genomics, ecology, social/behavioral sciences, education. Collaborative analyses. Project involving generation of a meta-research project or reworking and evaluation of an existing published meta-analysis. Prerequisite: knowledge of basic statistics.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 7488
0 / 50 enrolled
DAYS:Monday
TIME:11:30 AM – 2:20 PM
LOCATION:TBD
INSTRUCTOR:
Ioannidis, John, Sandoval Lentisco, Alejandro
3units

STATS 211: Meta-research: Appraising Research Findings, Bias, and Meta-analysis (BMDS 246, CHPR 206, EPI 206, MED 206)

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

Open to graduate, medical, and undergraduate students. Appraisal of the quality and credibility of research findings; evaluation of sources of bias. Meta-analysis as a quantitative (statistical) method for combining results of independent studies. Examples from medicine, epidemiology, genomics, ecology, social/behavioral sciences, education. Collaborative analyses. Project involving generation of a meta-research project or reworking and evaluation of an existing published meta-analysis. Prerequisite: knowledge of basic statistics.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Lecture — Monday 11:30 AM – 2:20 PM — Ioannidis, John, Sandoval Lentisco, Alejandro (Graduate)

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  • STATS 208: Resampling Methods: Bootstrap, Cross Validation and Beyond
  • STATS 209: Introduction to Causal Inference
  • STATS 217: Introduction to Stochastic Processes I
  • STATS 218: Introduction to Stochastic Processes II
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  • STATS 223: Sequential Analysis (STATS 323)
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