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January 1, 1973Biometrika529 citations

Marginal likelihoods based on Cox's regression and life model

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JKJohn D. KalbfleischRPRoss L. Prentice

Key Points

  • The aim is to derive marginal likelihoods using Cox's regression and the life model within survival analysis.
  • Derived formulas for marginal likelihoods based on Cox's regression and life model.
  • Applied statistical techniques to analyze the relationships between survival data and covariates.
  • Used theoretical frameworks to establish the properties of the proposed methods.
  • Introduced new approaches to calculate marginal likelihoods, showcasing analytical highlights.
  • Demonstrated the effectiveness of Cox's regression in estimating survival probabilities.
  • Provided insights that may enhance statistical modeling in life sciences.

Abstract

Journal Article Marginal likelihoods based on Cox's regression and life model Get access J. D. KALBFLEISCH, J. D. KALBFLEISCH State University of New York at Buffalo Search for other works by this author on: Oxford Academic Google Scholar R. L. PRENTICE R. L. PRENTICE * State University of New York at Buffalo *On leave from the University of Waterloo Canada. Search for other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 60, Issue 2, August 1973, Pages 267–278, https://doi.org/10.1093/biomet/60.2.267 Published: 01 August 1973 Article history Received: 01 September 1972 Revision received: 01 December 1972 Published: 01 August 1973

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Cite This Study

Kalbfleisch et al. (1973) studied this question.

synapsesocial.com/papers/6a0887467de338f10b10c27fhttps://doi.org/10.1093/biomet/60.2.267
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