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A non‐parametric graphical representation of the relationship between survival and the occurrence of an event: Application to responder versus non‐responder bias
Author(s) -
Simon Richard,
Makuch Robert W.
Publication year - 1984
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.4780030106
Subject(s) - parametric statistics , representation (politics) , event (particle physics) , association (psychology) , survival analysis , clinical trial , medicine , parametric model , statistics , computer science , mathematics , psychology , physics , quantum mechanics , politics , political science , law , psychotherapist
Reports of cancer clinical trials often attempt to evaluate whether tumour response is associated with prolonged survival. Proper analysis requires accounting for the time‐dependent nature of response status. We review a valid and relatively simple method of significance testing for this problem, and develop a corresponding non‐parametric method for displaying the association between survival and occurrence of response. The new method applies to many other clinical problems involving representation and the association between survival and the occurrence of an event. We illustrate the method with data from two clinical trials.