An application of Bayesian analysis to medical follow-up data

J. A. Achcar, R. Brookmeyer, W. G. Hunter

Research output: Contribution to journalArticle

Abstract

Posterior distributions can provide effective summaries of the main conclusions of medical follow-up studies. In this article, we use Bayesian methods for the analysis of survival data. We describe posterior distributions for various parameters of clinical interest in the presence of arbitrary right censorship. Non-informative reference priors result from transformation of a two-parameter Weibull model into a location-scale family. We suggest an approach for checking adequacy. For illustration, we apply the methods to a well-known acute leukemia data set.

Original languageEnglish (US)
Pages (from-to)509-520
Number of pages12
JournalStatistics in Medicine
Volume4
Issue number4
StatePublished - 1985

Fingerprint

Bayes Theorem
Bayesian Analysis
Posterior distribution
Location-scale Family
Reference Prior
Weibull Model
Survival Data
Leukemia
Statistical Models
Bayesian Methods
Acute
Two Parameters
Arbitrary
Datasets

ASJC Scopus subject areas

  • Epidemiology

Cite this

Achcar, J. A., Brookmeyer, R., & Hunter, W. G. (1985). An application of Bayesian analysis to medical follow-up data. Statistics in Medicine, 4(4), 509-520.

An application of Bayesian analysis to medical follow-up data. / Achcar, J. A.; Brookmeyer, R.; Hunter, W. G.

In: Statistics in Medicine, Vol. 4, No. 4, 1985, p. 509-520.

Research output: Contribution to journalArticle

Achcar, JA, Brookmeyer, R & Hunter, WG 1985, 'An application of Bayesian analysis to medical follow-up data', Statistics in Medicine, vol. 4, no. 4, pp. 509-520.
Achcar JA, Brookmeyer R, Hunter WG. An application of Bayesian analysis to medical follow-up data. Statistics in Medicine. 1985;4(4):509-520.
Achcar, J. A. ; Brookmeyer, R. ; Hunter, W. G. / An application of Bayesian analysis to medical follow-up data. In: Statistics in Medicine. 1985 ; Vol. 4, No. 4. pp. 509-520.
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