Structured Cases for Statistics and Study Design

Description 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.  Additional Details Free app - download