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Structured Cases for Statistics and Study Design

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The structured cases for Statistics and Study Design are created to help you prepare for the subspecialty certifying exam.

Statistical concepts are explained in a concise, easy to digest format to make understanding the commonly used statistics and the basic principles of study design less intimidating.

In this collection we cover:

  • Basic study design
    • Case-control study
    • Retrospective and prospective cohort studies
    • Randomized controlled trial
  • Understanding bias and confounding
  • Commonly used statistics
    • T-test and student t-test
    • Wilcoxon Rank Sum/Mann-Whitney U
    • One way ANOVA and Kruskal Wallis
    • Chi square and Fisher’s Exact test
    • Odds Ratio, Relative Risk and Confidence Intervals
  • Power Analysis and post-hoc power analysis
    • Alpha and Type 1 error
    • Beta and Type 2 error
  • Sensitivity, specificity, positive and negative predictive values and likelihood ratio
  • Interpreting an ROC Curve
  • Interpreting a Forest Plot

6-month online access.

Faculty


Stephanie Martin
DO, FACOG