Modelling disease progression in terms of exposure history

Stat Med. 1999 Nov 15;18(21):2899-916. doi: 10.1002/(sici)1097-0258(19991115)18:21<2899::aid-sim203>3.0.co;2-f.

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Boxing / statistics & numerical data*
  • Brain Injuries / etiology
  • Disease Progression*
  • Environmental Exposure / statistics & numerical data*
  • Humans
  • Male
  • Models, Biological*
  • Models, Statistical*
  • Prospective Studies