Intermittent observation of time-dependent explanatory variables: a multistate modelling approach

被引:12
|
作者
Tom, Brian D. M. [1 ]
Farewell, Vernon T. [1 ]
机构
[1] Inst Publ Hlth, MRC Biostat Unit, Cambridge CB2 0SR, England
基金
英国医学研究理事会;
关键词
bias; intermittent observation; multistate models; panel data; time-dependent explanatory variables; COVARIATE MEASUREMENT ERRORS; QUALITY-OF-LIFE; PSORIATIC-ARTHRITIS; PANEL-DATA; REGRESSION; DISABILITY;
D O I
10.1002/sim.4429
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Motivated by investigations of factors related to various patient-reported outcome measures in psoriatic arthritis patients, after controlling for the effect of disease activity on these outcomes, we outline an approach for dealing with a rapidly fluctuating explanatory variable in a multistate model. On the basis of a representation of this variable as an ordinal classification, we suggest the use of an expanded multistate model. We examine the bias in estimating effects associated with other variables via simulation for different modelling choices. We present an analysis of a motivating data set on physical functional disability in psoriatic arthritis patients. Copyright (C) 2011 John Wiley & Sons, Ltd.
引用
收藏
页码:3520 / 3531
页数:12
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