On the Conditional Power in Survival Time Analysis Considering Cure Fractions.
Conditional power of survival endpoints at interim analyses can support decisions on continuing a trial or stopping it for futility. When a cure fraction becomes apparent, conditional power cannot be calculated accurately using simple survival models, e.g. the exponential model. Non-mixture models consider such cure fractions. In this paper, we derive conditional power functions for non-mixture models, namely the non-mixture exponential, the non-mixture Weibull, and the non-mixture Gamma models. Formulae were implemented in the R package CP. For an example data set of a clinical trial, we calculated conditional power under the non-mixture models and compared results with those under the simple exponential model.
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Andreas
A
Kuehnapfel
.
Fabian
F
Schwarzenberger
.
Markus
M
Scholz
D003627:Data Interpretation, Statistical; D006801:Humans; D018447:Medical Futility; D012984:Software; D016019:Survival Analysis
Gamma type survival; Weibull type survival; cure fraction; exponential survival; non-mixture model; proportional hazards; randomised clinical trial