February

Bias, Confounding, and Error

The Multiple Comparisons Problem

Content Outline Learning Objectives:

  • Know the concept of "confounding" as it applies to statistical analysis

  • Know some common sources of bias in research (eg, ascertainment bias, recruitment bias, recall bias)

  • Know methods to correct for the limitations of multiple comparisons

EMJ Clancy Research Design 1.pdf
Lang Secic Bias.pdf

Supplemental Reading:

Intuitive Biostatistics chapters 22, 23

Classic Article:

Neuhaus Pediatric Anesthesia 2013 Controlled RSI.pdf

QUIZ:

February Session Quiz.pdf