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Dispersion tests and adjustments for survival and case‐control studies
Author(s) -
Smith Philip J.
Publication year - 1993
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780121804
Subject(s) - variance (accounting) , dispersion (optics) , statistics , econometrics , standard error , nominal level , mathematics , confidence interval , economics , physics , accounting , optics
Abstract Cox and Snell have pointed out that when the empirical variance of a measured response y is quite different from its nominal variance under an assumed probability model, standard errors that are not adjusted for the discrepancy may yield misleading inferences. This article describes a test for assessing departures from nominal dispersion in survival analysis and case‐control studies. Also, a robust procedure for adjusting standard errors for these models is given.