通過條件
成  績 :60 分
  • 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
授課老師
李信宏
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