Research Using the NACC Database


Applied Missing Data Analysis in Health Sciences

 
   Lead Investigator:    Andrew Zhou
   Institution      :    University of Washington
   E-Mail           :    azhou@u.washington.edu
   Proposal ID      :    94

Publications:
1 ^S={font_weight=bold}Chen B, Zhou A^S={} A Latent-Variable Marginal Method for Multi-Level Incomplete Binary Data Journal Article Stat Med,31:3211-3222,2012,PMC3631603
PUBLISHED

2 ^S={font_weight=bold}Chen B, Zhou A^S={} Doubly Robust Estimates for Binary Longitudinal Data Analysis with Missing Response and Missing Covariates Journal Article Biometrics,67:830-842,2011,PMC3652597
PUBLISHED

3 ^S={font_weight=bold}Chen B, Zhou XHA^S={} Non-Homogeneous Markov Process Models with Informative Observation Times, with an Application to Alzheimer's Disease Abstract Alzheimers and Dementia,7:S366,2011,
PUBLISHED

4 Chen B, Qin J A new estimation with minimum trace of asymptotic covariance matrix for incomplete longitudinal data with a surrogate process 2012 Journal Article Stat Med ,PMC3808493
IN PRESS

Proposal Description:
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NACC is funded by the National Institute on Aging (UO1 AG016976) and located in the Department of Epidemiology at the University of Washington School of Public Health, Walter A. Kukull, Ph.D., Director. Copyright© 2010 University of Washington.