MULTI-STATE MODELS WITH MISSING COVARIATES

MULTI-STATE MODELS WITH MISSING COVARIATES

Multi-state models have been widely used to analyze longitudinal event history data obtained in medical studies. The tools and methods developed recently in this area require the complete observed datasets. While, in many applications measurements on certain components of the covariate vector are mi...

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Bibliographic Details
Main Author: Lou, Wenjie
Format: Others
Published: UKnowledge 2016
Subjects:
Longitudinal event history data
multi-state model
missing covariate data
EM algorithm
maximum simulated likelihood
SMART project
Applied Statistics
Longitudinal Data Analysis and Time Series
Statistical Models
Online Access:http://uknowledge.uky.edu/statistics_etds/16
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1019&context=statistics_etds

Internet

http://uknowledge.uky.edu/statistics_etds/16
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1019&context=statistics_etds

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