国外大学讲义：Multilevel Logistic Regression.ppt

Multilevel Modeling: Multilevel Logistic Regression0411 Multilevel Logistic Regression Wen, Fur-HsingNCTUFJU Logistic regression Dependent Variable: Binary Data Independent Variables: continuous/categorical Multinominal Logistic regression Dependent Variable: Categorical Data Independent Variables: continuous/categorical Cumulative Logistic regression Dependent Variable: Ordinal Data Independent Variables: continuous/categorical Latent Class Modeling/Analysis LCM/LCA Dependent Variable: Categorical Data Independent Variables: Categorical Data General Linear Model / GLM ANOVA Dependent Variable: Continuous data Independent: Categorical data Regression Dependent Variable: Continuous data Independent: Continuous/Categorical data ANOVA is a special case Generalized Linear Model Dependent: non-continuous/continuous Independent: continuous/categorical Mixed model Multilevel Modeling fixed + random effects Dependent: continuous Independent: continuous/categorical GLMM Generalized Linear Mixed Model Dependent variable=? GLLAMM Generalized Linear L????? And Mixed Models The fundamental of logistic regression Latent variable Latent variable model Logistic regression Derivation Logistic distribution Logit Model Odd Ratio ML Standard Normal Distribution PDF CDF Multilevel Logistic Regression 迴歸係數? 數字越大（正號） 越有可能是經理 數字越小 越有可能不是經理 每多唸書一年，是經理的機會是66％，換言之是經理的機會比不是經理的機會大約多兩倍。Odd ratio 薪水每多1元，是經理的機會是50％。 Logistic Regression Two-level models for binary outcomes 1.??? Level-1 sampling model? 2.??? Level-1 link function 3.??? Level-1 structural model 4.??? Level-2 models Output Final estimation of fixed effects: (Unit-specific model) Final estimation of fixed effects: (Population-average model) SPSS Logistic Regression HLM O