通過條件成 績 ：60 分
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類別資料分析Syllabus
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1 Introduction
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2 Two-way Contingency Table
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3 Odds Ratio
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4 Test of Independence
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R-1 Statistical Inferences about Proportions
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R-2 Statistical Inferences about Odds Ratio
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5 課本例題的 SAS 程式碼
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6 Three-way Contingency Table
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7 CMH Test
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R-3 CMH Statistics (HW_2)
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8 Differential Item Functioning and MH Procedure
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9 Introduction to GLM
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10 GLM for binary data and count data
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R-4 GLM for binary data Snoring and Heart Disease
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11 鱟-維基百科介紹
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鱟 Data and Figures for Female Horseshoe
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R-5 GLM for Poisson data Female Horseshoe Crabs
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12 Inference and Model Checking for GLM
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13 Logistic Regression Models
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15 Building and Applying Logistic Regression Models
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R-6 The Logistic Regression Model for Female Horseshoe Crabs
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R-7 The Logistic Regression with Categorical Predictors AIDS
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R-8 Multiple Logistic Regression for Horseshoe Crabs with Color and Width Pridictors
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R-9 Building and Applying Logistic Regression Models
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R-10 Loglinear Model for Counts in Continbency Tables
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R-11 Alcohol, Cigarette, and Marijuana Use Example
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R-12 Loglinear Models for Higher-Dimensional Contingency Tables
- 課程介紹
- 課程安排
- 評論
