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Modelling prevalence of a condition: Chronic graft-versus-host disease after bone marrow transplantation

Citation

Couper, DJ and Pepe, MS, Modelling prevalence of a condition: Chronic graft-versus-host disease after bone marrow transplantation, Statistics in Medicine, 16, (14) pp. 1551-1571. ISSN 0277-6715 (1997) [Refereed Article]

DOI: doi:10.1002/(SICI)1097-0258(19970730)16:14<1551::AID-SIM577>3.0.CO;2-T

Abstract

A variety of estimators have been proposed for modelling how the proportion of patients with a transient condition varies over time. In this paper we compare these estimators qualitatively and quantitatively and introduce a new estimator based on a generalized additive model (GAM). The assumptions on which the various estimators are based are discussed. Using simulations we compare their performances and investigate their robustness to departures from the assumptions. The GAM estimator is the only one which can incorporate covariate information. Even when estimating a single prevalence function without any covariate information the GAM estimator is seen to be preferable as long as the censoring mechanism is random censoring. The GAM prevalence estimator is applied to data on chronic graft-versus-host disease following bone marrow transplantation.

Item Details

Item Type:Refereed Article
Research Division:Medical and Health Sciences
Research Group:Public Health and Health Services
Research Field:Epidemiology
Objective Division:Health
Objective Group:Other Health
Objective Field:Health not elsewhere classified
Author:Couper, DJ (Dr David Couper)
ID Code:10807
Year Published:1997
Web of Science® Times Cited:18
Deposited By:Menzies Centre
Deposited On:1997-08-01
Last Modified:2011-08-11
Downloads:0

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