Open AccessAdjustment for Missing Data in Complex Surveys Using Doubly Robust Estimation
Author(s) -
Kathleen E. Wirth,
Eric J. Tchetgen Tchetgen,
Megan Murray
Publication year - 2010
Publication title -
epidemiology
Language(s) - English
Resource type - Journals
eISSN - 1531-5487
pISSN - 1044-3983
DOI - 10.1097/ede.0b013e3181f57571
Subject(s) - estimation , missing data , statistics , computer science , econometrics , mathematics , engineering , systems engineering
The Demographic and Health Survey program routinely collects nationally representative information on HIV-related risk behaviors in many countries, using face-to-face interviews and a complex sampling scheme. If respondents skip questions about behaviors perceived as socially undesirable, such interviews may introduce bias. We sought to implement a doubly robust estimator to correct for dependent missing data in this context.