A test of the association of a time-dependent state variable to survival.
An SAS macro which implements a more general version of the Mantel-Byar method is presented. Patients are assumed to potentially change between any number of states any number of times until censored or reaching a predefined endpoint. The macro employs methodology which generalizes that of the well-known logrank test to assess the association between state and endpoint.
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H. Lee Moffitt Cancer Center, University of South Florida, Tampa 33612-9497, USA.
D000465:Algorithms; D003922:Diabetes Mellitus, Type 1 / Q000276:immunology / Q000503:physiopathology; D018450:Disease Progression; D006801:Humans; D007330:Insulin Antibodies / Q000032:analysis; D008954:Models, Biological; D012307:Risk Factors; D015996:Survival Rate; D013997:Time Factors
D007330:Insulin Antibodies