Pass condition
Grade:60 Fraction
  • 1 Introduction
  • 2 Two-way Contingency Table
  • 3 Odds Ratio
  • 4 Test of Independence
  • 5 課本例題的 SAS 程式碼
  • 6 Three-way Contingency Table
  • 7 CMH Test
  • 8 Differential Item Functioning and MH Procedure
  • 9 Introduction to GLM
  • 10 GLM for binary data and count data
  • 11 鱟-維基百科介紹
  • 12 Inference and Model Checking for GLM
  • 13 Logistic Regression Models
  • 14 R Codes in Logistic Regression Models - Horseshoe Crab Example
  • 15 Building and Applying Logistic Regression Models
  • 16 Loglinear Models for Two Dimensional Tables
  • 17 Loglinear Models for Three-way Tables
  • 18 R Codes in Loglinear Models - Alcohol Cigarettes Marijuana Example
  • 19 Loglinear Models for Four- and Higher Dimensions
  • 20 Multicategory Logit Models
Instructor
李信宏
Recommended Courses
  • 1091-Statistics-22037
    Period:2020-09-14~2021-01-18
    LINE sharing feature only supports mobile devices
  • 1061-Applied Statistics II-22036
    Period:2017-09-01~2018-01-31
    LINE sharing feature only supports mobile devices
  • 1051-Applied Statistics II-22045
    Period:2016-08-01~2017-01-31
    LINE sharing feature only supports mobile devices
  • 1042-Applied Statistics I-22061
    Period:2016-02-01~2016-07-31
    LINE sharing feature only supports mobile devices
  • 992-Introduction to Mathematical Statistics-22036
    Period:2011-02-07~2011-07-31
    LINE sharing feature only supports mobile devices


LINE sharing feature only supports mobile devices