Empirical Bayes Analysis of Families of Survival Curves: Applications to the Analysis of Degree Attainment
Henry I. Braun and
Rebecca Zwick
Journal of Educational and Behavioral Statistics, 1993, vol. 18, issue 4, 285-303
Abstract:
We present a novel approach to the empirical Bayes analysis of aggregated survival data from different groups of subjects. The method is based on a contingency table representation of the data and employs transformations to permit the use of normal priors. In contrast to the case of a single survival curve, the empirical Bayes analysis of families of such curves leads to estimates which offer a qualitative improvement over classical estimates based on the ratio of occurrence to exposure rates. This method is illustrated with data on the attainment of the doctoral degree from three major universities.
Keywords: survival analysis; event history analysis; empirical Bayes (search for similar items in EconPapers)
Date: 1993
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.3102/10769986018004285 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:18:y:1993:i:4:p:285-303
DOI: 10.3102/10769986018004285
Access Statistics for this article
More articles in Journal of Educational and Behavioral Statistics
Bibliographic data for series maintained by SAGE Publications ().