Section outline

  • Lecture:  Advanced Methods/Quantitative Bias Analyses, Meta Analysis

    Quantitative Bias Analyses:

    • When is bias analysis practical and productive?
    • How to identify/select the biases that should be addressed?
    • Selecting a method to model biases
    • Assigning values to the parameters of a bias model
    • Interpretation of bias analysis results 

    Meta-Analysis

    • Review of evidence-based medicine: Mission and methods
    • Meta-Analysis
    • How to conduct, when is it appropriate to combine results across studies?
    • Analytical approaches - e.g. "fixed effects", "random effects"
    • Strengths and limitations
    • Case Studies

    Faculty: Fiona Callaghan/Michael Kelsh

    Location:  Mission Hall 1406

    • Session Slides:

    • Lecture 6 PV MetaAnalysis Feb 11 2016 File
    • Lecture 6 Quantitative Bias Analysis Feb 11 2016 File

    • Required Reading:

      Roundtable discussion of Vioxx/Avandia and other safety studies

    • Lash Fink 2003 Quantitative Biase Assessment Epi File
      Not available unless: Your ID number contains 02
    • Lash et al 2014 Good Practices in Quantitative Bias Assessment Int. J. Epidemiol File
      Not available unless: Your ID number contains 02
    • Guyatt et al., Users’ Guides to the Medical Literature XXV. Evidence-Based Medicine. Principles for Applying the Users’ Guides to Patient Care. JAMA 284(10)-1290-1296, 2000 File
      Not available unless: Your ID number contains 02
    • Concato et al., Randomized, Controlled Trials, Observational Studies, and the Hierarchy Of Research Designs. N Engl J Med 342(25) 1887-92, 2000 File
      Not available unless: Your ID number contains 02
    • Juni et al., Risk of cardiovascular events and rofecoxib. cumulative meta-analysis. Lancet 364(9450) 2021-2029, 2004 File
      Not available unless: Your ID number contains 02
    • Poole 2007 Coffee and Myocardial Infarction. File
      Not available unless: Your ID number contains 02

    • Assignment: