On a simple method for analyzing multivariate survival data using sample survey methods

Pingfu Fu, J. Sunil Rao

Research output: Contribution to journalArticlepeer-review

Abstract

A simple technique is illustrated for analyzing multivariate survival data. The data situation arises when an individual records multiple survival events, or when individuals recording single survival events are grouped into clusters. Past work has focused on developing new methods to handle such data. Here, we use a connection between Poisson regression and survival modeling and a cluster sampling approach to adjust the variance estimates. The approach requires parametric assumption for the marginal hazard function, but avoids specification of a joint multivariate survival distribution. A simulation study demonstrates the proposed approach is a competing method of recent developed marginal approaches in the literature.

Original languageEnglish (US)
Pages (from-to)345-356
Number of pages12
JournalJournal of Modern Applied Statistical Methods
Volume3
Issue number2
DOIs
StatePublished - 2004
Externally publishedYes

Keywords

  • Clustered data
  • Design effect
  • Sampling
  • Survival analysis

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Statistics and Probability

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