| Date |
Lesson |
Slides |
Reading |
Lab |
HW |
Project |
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WEEK 1 |
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| Tue, Aug 27 |
Introduction to course |
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PART I: MULTIPLE LINEAR REGRESSION |
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| Thur, Aug 29 |
Introduction to multiple linear regression |
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WEEK 2 |
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| Tue, Sept 3 |
Model assessment, diagnostics and validation I |
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| Thur, Sept 5 |
Model assessment, diagnostics and validation II |
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| Fri, Sept 6 |
Lab 1: multiple linear regression (beer consumption in sao paulo) |
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WEEK 3 |
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| Tue, Sept 10 |
Special predictors and multicollinearity |
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| Thur, Sept 12 |
Model building and selection |
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PART II: GENERALIZED LINEAR MODELS (GLMs) |
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WEEK 4 |
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Final project outline |
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| Tue, Sept 17 |
Introduction to logistic regression (HW2 DUE!) |
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| Thur, Sept 19 |
Logistic regression: model assessment and validation |
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| Fri, Sept 20 |
Lab 2: logistic regression (predicting nba wins) |
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WEEK 5 |
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| Mon, Sept 25 |
Lab 2 DUE! |
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| Tue, Sept 24 |
Logistic regression: in-class analysis |
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| Thur, Sept 26 |
Logistic regression: in-class analysis (cont'd) |
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Team project 1 |
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| Fri, Sept 27 |
HW3 DUE! |
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WEEK 6 |
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| Tue, Oct 1 |
Multinomial logistic regression |
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| Thur, Oct 3 |
Proportional odds model; in-class analysis |
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| Fri, Oct 4 |
Lab 3: team project 1 presentations (reports due at midnight) |
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WEEK 7 |
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| Tue, Oct 8 |
No class: fall break |
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| Thur, Oct 10 |
Other GLMs: Poisson and Probit regressions |
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PART III: MULTILEVEL/HIERARCHICAL MODELS |
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WEEK 8 |
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| Tue, Oct 15 |
Multilevel/hierarchical models I |
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| Thur, Oct 17 |
Multilevel/hierarchical models II |
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| Fri, Oct 18 |
Lab 4: multilevel linear regression (do more beautiful professors get higher evaluations?) |
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Team project 2 |
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WEEK 9 |
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| Tue, Oct 22 |
Multilevel/hierarchical models III |
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PART IV: DEALING WITH MESSY DATA |
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| Thur, Oct 24 |
Missing data methods I |
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| Fri, Oct 25 |
Instructions for final project proposals |
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WEEK 10 |
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| Tue, Oct 29 |
Missing data methods II |
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PART V: METHODS FOR CAUSAL INFERENCE |
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| Thur, Oct 31 |
Introduction to causal inference |
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| Fri, Nov 1 |
Lab 5: team project 2 presentations (reports due midnight on Monday Nov 4) |
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WEEK 11 |
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| Tue, Nov 5 |
Observational studies: regression, stratification and matching |
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HW 4 |
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Final project proposal due |
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| Thur, Nov 7 |
Observational studies: propensity scores methods |
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WEEK 12 |
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| Mon, Nov 11 |
HW4 DUE! |
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| Tue, Nov 12 |
Boostrap and tree-based methods |
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HW 5 |
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PART VI: TIME SERIES MODELS |
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| Thur, Nov 14 |
Time series models |
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| Fri, Nov 15 |
Lab 6: causal inference (right heart catheterization) |
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WEEK 13 |
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| Tue, Nov 19 |
Time series models (cont'd) |
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| Thur, Nov 21 |
Wrap up (work on final project) |
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WEEK 14 |
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| Tue, Nov 26 |
Final project presentations I |
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| Thur, Nov 28 |
No class: reading period |
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WEEK 15 |
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| Tue, Dec 3 |
Final project presentations II |
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| Thur, Dec 5 |
Final project presentations III |
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| Tue, Dec 10 |
Final project report due |
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