PM 511b: DATA ANALYSIS
PM 511b: DATA ANALYSIS
COURSE OUTLINE
TOPIC
1. Introduction (1/10) Dupont §4.19, 5.1-5.5
Mechanistic vs. Descriptive models Course reader pp. 1-17a
Measures of association
Chi-square test for 2x2 tables
Observational Study Designs
Review of Confounding
Mantel-Haenszel Statistic
2. Logistic Regression (1/17) Dupont §4.11-4.9, 4.19-4.23
Model assumptions Course reader pp. 18-34
Maximum likelihood method
Odds ratio & Confidence intervals
Linear predictor & Fitted values
Three methods of hypothesis testing
3. Multiple Logistic Regression (1/24) Dupont §5.6-5.7
Extension of ideas from simple logistic regression Course reader pp. 35-54
Hypothesis testing on several coefficients simultaneously
Confounding & Interaction (effect modification)
4. More on Multiple Logistic Regression (1/31) Dupont §5.8-5.25
Effect modification Course reader pp. 55-65
More on confounding
Confounder adjustment using dummy covariates vs. continuous covariates
5. More on Multiple Logistic Regression (2/7) Course reader pp.66-75
Dose-response models
More on coding variables
6. More on Multiple Logistic Regression (2/14) Course reader pp. 74-75b
Model building strategies
Matching variables
7. More on Logistic Regression (2/21) Dupont §5.26-5.29
Measuring quality of fit Course reader pp. 83-94
Diagnostic plots
MIDTERM February 28th, 11am-1pm.
8. Survival Analysis (3/7-3/21) Dupont §6.1-6.9
Kaplan-Meier Plots Course reader pp.128-140
Logrank test
9. Cox Regression (3/21) Dupont §6.10-6.17, §7.1-7.5
Proportional hazards model Course reader pp. 141-157
Interpretation of coefficients
Estimators, Confidence intervals and test statistics
10. More on Cox Regression (3/28) Dupont §7.5
Multivariable models Course reader pp. 158-168
Stratification
11. More on Cox Regression (4/4) Dupont §7.8, 7.10, 7.11
Testing model assumptions Course reader pp.169-188
Time Dependent covariates
12. Generalized Estimating Equations for Correlated Data (4/11)
Dependent data structures Dupont §11.1-11.5
Modeling mean structure §11.7-11.11
Modeling correlation Course reader pp.189-209
13. More on Generalized Estimating Equations (4/18)
Robust variance estimates for Logistic regression Course reader pp.210-232
Robust variance estimates for Cox regression
14. Poisson Regression (4/25) Dupont Ch 8, 9
Model assumptions Course reader pp.109-127
Risk ratio & Confidence intervals
Goodness of fit; Regression diagnostics
FINAL EXAM May 2nd, 11am-1pm.
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