Modelling disease progression in terms of exposure history

Karen J Bandeen Roche, Charles B. Hall, Walter F. Stewart, Scott Zeger

Research output: Contribution to journalArticle

Abstract

We consider the relationship between accumulating exposure to a putative agent and the associated change in physiologic function. This type of problem is common to prospective studies of cognitive, pulmonary and cardiovascular function. A general model is proposed for data from prospective, observational studies with concurrent measures of exposures and continuous outcome measures. This model permits non-linearity in the relationship between exposure and outcome and is designed to describe outcome in terms of one's entire exposure history. As exposure data are often severely right-skewed, we use regression spline estimation methods which localize the influence of extreme points. We illustrate our methodology using data from a longitudinal epidemiologic investigation of the effects of amateur boxing on neuropsychologic function.

Original languageEnglish (US)
Pages (from-to)2899-2916
Number of pages18
JournalStatistics in Medicine
Volume18
Issue number21
DOIs
StatePublished - Nov 15 1999

Fingerprint

Progression
Disease Progression
History
Boxing
Prospective Studies
Modeling
Observational Studies
Outcome Assessment (Health Care)
Lung
Regression Splines
Observational Study
Extreme Points
Concurrent
Entire
Nonlinearity
Methodology
Model
Relationships

ASJC Scopus subject areas

  • Epidemiology

Cite this

Modelling disease progression in terms of exposure history. / Bandeen Roche, Karen J; Hall, Charles B.; Stewart, Walter F.; Zeger, Scott.

In: Statistics in Medicine, Vol. 18, No. 21, 15.11.1999, p. 2899-2916.

Research output: Contribution to journalArticle

Bandeen Roche, Karen J ; Hall, Charles B. ; Stewart, Walter F. ; Zeger, Scott. / Modelling disease progression in terms of exposure history. In: Statistics in Medicine. 1999 ; Vol. 18, No. 21. pp. 2899-2916.
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