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Regression Analysis

Lecturenotes

 

 

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Lecture 1-1: A review of basic statistical concepts
Lecture 1-2: Measures of association with emphasis on the di erence of means
Lecture 2: Basics of linear regression analysis
Lecture 4: Correlation
Lecture 5-1: Analysis of variance (ANOVA) table and prediction of y
Lecture 5-2: Basics of multiple linear regression
Lecture 6-1: Hypothesis testing in multiple regression
Lecture 6-2: Polynomial terms and dummy variables
Lecture 7: Interaction and confounding
Lecture 8-1: Regression diagnosis
Lecture 8-2: Variable selection and model building
Lecture 11: Relative risk, odds ratio and signi cance testing for 2*2 tables
Lecture 12: Introduction to logistic regression
Lecture 13-1: Logistic regression for contingency tables
Lecture 13-2: Goodness-of- t for logistic regression
Lecture 14: Logistic regression for case-control data and conditional logistic regression
Lecture 15: Analysis of polytomous data
Lecture 16: Poisson regression and log-linear model
Lecture 17: Generalized linear models

 

 

 
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