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• one-sample proportion test
  • do NOT use Yate's continuity, so specify:
    • prop.test(…, correct = FALSE)
• $\Chi^2$ goodness of fit test
  • to ensure sufficient sample size: $n \cdotp_{0} > 5$
  • don't use continunity corrections!
    • chisq.test(…, correct = FALSE)

NOTE: one-sample single proportion test gives a 95% CI – $\Chi^2$ does not!

Joint, Marginal and Conditional Probabilities

• QI
  • SQUIRE 2.0 for QI Reporting
  • Stepped-wedge trial
    • Link
• Linear regression
  • Q-Q plot
  • plot of residuals
  • Cook's Distance
  • these are different!
    • correlative
    • descriptive
    • predictive
    • associative
• confounding vs. effect modification

to assess a paired difference

• create histogram
• plot as box plot
• make Q-Q plot