Section outline

  • Lecture 9: Causal Inference in ''Big Data''

    Issues of bias and how to minimize. Selection bias. Methods to minimize bias in observational studies.

    Faculty:  Aaron Wolfe Scheffler

    • Lecture Slides:

    • Biostat 202 Lecture 9: Causation vs Prediction File
    • Biostat 202 Lecture 9: Causation vs Prediction File

    • Pre-recorded lecture - watch before live Zoom class session (Access restricted to registered students):

    • Biostat 202 Lecture 9 - module 1 URL
      Not available unless: You belong to Registered Students Only
    • Biostat 202 Lecture 9 - module 2 URL
      Not available unless: You belong to Registered Students Only
    • Biostat 202 Lecture 9 - module 3 URL
      Not available unless: You belong to Registered Students Only

    • Large Group Discussion (Access restricted to registered students): Brief formal review of lecture followed by question and answer discussion. Recorded lecture should be viewed prior to this session.

    • Biostat 202 Lecture 9 - RECORDED Zoom Session URL
      Not available unless: You belong to Registered Students Only
    • Biostat 202 Lecture 9 - CLASS File
    • Biostat 202 Lecture 9 - CLASS File

    • Optional Reading:  Pragmatic trials lecture from 2016 by Mark Pletcher

    • Biostat 202 Pragmatic Trials File
    • Biostat 202 Pragmatic Trials File
    • NEJM Review - Pragmatic Trials File

    • Tool Files:

    • Biostat 202 Lecture 9 Potential Outcomes Orange Demo File
    • Biostat 202 Lecture 9 Propensity Score Analysis Orange Demo File

    • Datasets:

    • Propensity score example data File
    • Subgroup example data File