進階統計模式與資料分析

Course introduction Review of basic biostatistics and regression analysis

228 Memorial Day

Analysis of contingency tables -Mantel-Haenszel method - Applications for confounding adjustment and for matched data -Test for linear trend;Kappa statistic;Goodness-of-fit test

Topics in Linear regression and Logistic regression – I - Interaction and confounders - Model building strategy - Multicollinearity

Topics in Linear regression and Logistic regression –II - Prediction - Validation test and predictive error - ROC with logistic regression

Topics in Linear regression and Logistic regression –III - Conditional logistic regression - Polytamous logistic regression

Children''''s Day Children''s Day

Survival data analysis (1) - Kaplan-Meier and Life table methods - Comparing two groups: Log-rank test and Wilcoxon test - Comparing more than two groups

Survival data analysis (2) Cox proportional hazard models I

Survival data analysis (3) - Cox proportional hazard models II

Case studies (1) / Lab in Data analysis

Introduction to generalized linear models - Inferences of GLMs - Quasi-likelihood - Poisson log-linear models

Applied longitudinal data analysis (1): likelihood approaches - Linear models: Population-average models

Applied longitudinal data analysis (2): likelihood approaches - Linear mixed models: Random coefficient models

Case studies (2) / Lab in Data analysis

Applied longitudinal data analysis (3): GEE approaches - Linear and generalized linear models

Applied longitudinal data analysis (4): GEE approaches - Linear and generalized linear models

Final Exam