Title | Improved doubly robust estimation when data are monotonely coarsened, with application to longitudinal studies with dropout. |
Publication Type | Journal Article |
Year of Publication | 2011 |
Authors | Tsiatis, Anastasios A., Marie Davidian, and Weihua Cao |
Journal | Biometrics |
Volume | 67 |
Issue | 2 |
Pagination | 536-45 |
Date Published | 2011 Jun |
ISSN | 1541-0420 |
Keywords | Acquired Immunodeficiency Syndrome, Biometry, Computer Simulation, Humans, Longitudinal Studies, Models, Statistical, Statistical Distributions |
Abstract | A routine challenge is that of making inference on parameters in a statistical model of interest from longitudinal data subject to dropout, which are a special case of the more general setting of monotonely coarsened data. Considerable recent attention has focused on doubly robust (DR) estimators, which in this context involve positing models for both the missingness (more generally, coarsening) mechanism and aspects of the distribution of the full data, that have the appealing property of yielding consistent inferences if only one of these models is correctly specified. DR estimators have been criticized for potentially disastrous performance when both of these models are even only mildly misspecified. We propose a DR estimator applicable in general monotone coarsening problems that achieves comparable or improved performance relative to existing DR methods, which we demonstrate via simulation studies and by application to data from an AIDS clinical trial. |
DOI | 10.1111/j.1541-0420.2010.01476.x |
Alternate Journal | Biometrics |
Original Publication | Improved doubly robust estimation when data are monotonely coarsened, with application to longitudinal studies with dropout. |
PubMed ID | 20731640 |
PubMed Central ID | PMC3061242 |
Grant List | P01 CA142538-01 / CA / NCI NIH HHS / United States R01 CA085848-10 / CA / NCI NIH HHS / United States R37 AI031789-20 / AI / NIAID NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States R01 CA085848 / CA / NCI NIH HHS / United States R01 CA051962 / CA / NCI NIH HHS / United States R37 AI031789 / AI / NIAID NIH HHS / United States R01 CA051962-19 / CA / NCI NIH HHS / United States |
Improved doubly robust estimation when data are monotonely coarsened, with application to longitudinal studies with dropout.
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