Estimating the incidence of dementia from longitudinal two-phase sampling with nonignorable missing data - ARCHIVED

Surveys and statistical programs – Documentation: 11-522-X19980015030


Two-phase sampling designs have been conducted in waves to estimate the incidence of a rare disease such as dementia. Estimation of disease incidence from longitudinal dementia study has to appropriately adjust for data missing by death as well as the sampling design used at each study wave. In this paper we adopt a selection model approach to model the missing data by death and use a likelihood approach to derive incidence estimates. A modified EM algorithm is used to deal with data missing by sampling selection. The non-paramedic jackknife variance estimator is used to derive variance estimates for the model parameters and the incidence estimates. The proposed approaches are applied to data from the Indianapolis-Ibadan Dementia Study.

Issue Number: 1998001
Author(s): Gao, Sujuan; Hall, Kathleen S.; Hendrie, Hugh C.; Hui, Siu L.
FormatRelease dateMore information
CD-ROMOctober 22, 1999