Statistical Learning: 13.2 Introduction to Multiple Testing and Family Wise Error Rate

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  • Опубліковано 30 вер 2024
  • Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing
    Trevor Hastie, Professor of Statistics and Biomedical Data Sciences at Stanford University - statistics.sta...
    Robert Tibshirani, Professor of Statistics and Biomedical Data Sciences at Stanford University - statistics.sta...
    Jonathan Taylor, Professor Statistics at Stanford University - statistics.sta...
    You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion. You can choose to take the course in R (www.edx.org/co...) or in Python (www.edx.org/le...)
    For more information about courses on Statistics, you can browse our Stanford Online Catalog: stanford.io/3Q...

КОМЕНТАРІ • 2

  • @tb6605
    @tb6605 2 місяці тому

    Thanks for the lessons. I am a little bit confuse about FWER.
    For example: My research question is: "Does the medication have an effect on diabetes patients?". I have 1 independent variable: Group (Diabetes patients and Control) and 4 dependent variables: Blood Sugar Levels; Hemoglobin A1c Levels; Insulin Sensitivity; BMI.
    1. If I perform 4 t-test with dependent variables, the Type 1 error rate will increase ?
    2. If I would like to compate clinical features between Diabetes vs Control (Gender, Age, Educational Level, ...), the FWER will further increase ?

  • @annawilson3824
    @annawilson3824 11 місяців тому +1

    FWER formula 10:28