A Two-Sample Test Sensitive to Crossing Hazards in Uncensored and Singly Censored Data

Publication Type
Journal Article
Year of Publication
1985
Authors
Stablein, D M; Koutrouvelis, I A
Secondary
Biometrics
Volume
41
Start Page
643
Pagination
643-652
Date Published
09/1985
Keywords
Antineoplastic Combined Chemotherapy Protocols; Biometry; Clinical Trials as Topic; Combined Modality Therapy; Follow-Up Studies; Gastrointestinal Neoplasms; Humans; Mathematics
Abstract

Savage score statistics are employed to develop a test for comparing survival distributions with right-hand singly censored data. The procedure is motivated by the interest in developing a powerful method for determining differences when true survival distributions cross. Examination of small-sample characteristics under the null hypothesis indicate that asymptotic critical values yield a slightly conservative test. Power of the test compares favorably with other criteria, including the modified Smirnov procedure, particularly if there is a single crossing of the survival curves.