通過條件
成 績 :60 分
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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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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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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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11 鱟-維基百科介紹
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12 Inference and Model Checking for GLM
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13 Logistic Regression Models
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14 R Codes in Logistic Regression Models - Horseshoe Crab Example
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15 Building and Applying Logistic Regression Models
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16 Loglinear Models for Two Dimensional Tables
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17 Loglinear Models for Three-way Tables
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18 R Codes in Loglinear Models - Alcohol Cigarettes Marijuana Example
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19 Loglinear Models for Four- and Higher Dimensions
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20 Multicategory Logit Models
- 課程介紹
- 課程安排
- 評論