Teaching - PHP 2610

Home Page for Missing Data in Longitudinal Studies

Teaching - PHP 2510

Teaching - PHP 2610

Joseph W Hogan ScD

>Teaching - PHP 2610

PHP 2610: Missing Data and Causal Inference
Papers


1- Hogan JW, Roy J, Korkontzelou C (2004). Handling dropout in longitudinal studies. Statistics in Medicine 23, 1455-1497
2 - Kang JDY, Schafer JL (2007). Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data (with discussion). Statistical Science 22, 523-580.

Homeworks


	Handout 1- Case studies (0.8 MB)
	HW 1 - File 1 - Assignment (66.0 KB) Due Feb 24 in class
	HW 1 - File 2 - Data (9.5 KB)
	HW 1 - File 3 - R Code (0.8 KB) Will get you started reading in data, etc.
	HW 2 - File 1 - Assignment (66.1 KB) Due March 31 in class
	HW 2 - File 2 - Macular Degenration Data (0.1 MB) CSV format
	HW 2 - File 3 - Simulated data from mixture (10.8 KB)

R Code


	Code 1 - Simulate incomplete bivariate data (1.8 KB)
	Code 2 - IPW, imputation, doubly robust estimators (3.6 KB) Corrected version posted 2/16
	Code 3 - Conduct simulations comparing estimators (401 B)
	Code 4 - Bootstrap for IPW estimator (1.6 KB) For HW 2 and analysis of mac degeneration data

Syllabus, course reserves, etc.


	Syllabus (0.1 MB) Updated April 21


Course reserves

Useful links


R Software