A regression model for multivariate random length data.

Journal Article (Journal Article)

Multivariate random length data occur when we observe multiple measurements of a quantitative variable and the variable number of these measurements is also an observed outcome for each experimental unit. For example, for a patient with coronary artery disease, we may observe a number of lesions in that patient's coronary arteries, along with percentage of blockage of each lesion. Barnhart and Sampson first proposed the multiple population model to analyse multivariate random length data without covariates. This paper extends their approach to deal with multiple covariates. We propose a new multiple population regression model with covariates, and discuss the estimation issues. We analyse data from the TYPE II coronary intervention study to illustrate the methodology.

Full Text

Duke Authors

Cited Authors

  • Barnhart, HX; Kosinski, AS; Sampson, AR

Published Date

  • January 30, 1999

Published In

Volume / Issue

  • 18 / 2

Start / End Page

  • 199 - 211

PubMed ID

  • 10028140

International Standard Serial Number (ISSN)

  • 0277-6715

Digital Object Identifier (DOI)

  • 10.1002/(sici)1097-0258(19990130)18:2<199::aid-sim1>3.0.co;2-e


  • eng

Conference Location

  • England