Colosimo, E. A.Chalita, LVASDemetrio, CGB2014-05-202014-05-202000-12-01Biometrics. Washington: International Biometric Soc, v. 56, n. 4, p. 1233-1240, 2000.0006-341Xhttp://hdl.handle.net/11449/16957In this paper, we derive score test statistics to discriminate between proportional hazards and proportional odds models for grouped survival data. These models are embedded within a power family transformation in order to obtain the score tests. In simple cases, some small-sample results are obtained for the score statistics using Monte Carlo simulations. Score statistics have distributions well approximated by the chi-squared distribution. Real examples illustrate the proposed tests.1233-1240engAranda-Ordaz familyinterval censoringmaximum likelihood estimateregression discrete modelsscore testArtigo10.1111/j.0006-341X.2000.01233.xWOS:000165872600038Acesso restrito