
EMPIRICAL BAYES ANALYSIS OF FAMILIES OF SURVIVAL CURVES: APPLICATIONS TO THE ANALYSIS OF DEGREE ATTAINMENT
Author(s) -
Braun Henry I.,
Zwick Rebecca
Publication year - 1993
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.1993.tb01540.x
Subject(s) - bayes' theorem , contingency table , statistics , econometrics , degree (music) , mathematics , prior probability , bayesian probability , physics , acoustics
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.