On optimal designs for censored data

Dennis Schmidt () and Rainer Schwabe ()

Metrika: International Journal for Theoretical and Applied Statistics, 2015, vol. 78, issue 3, 237-257

Abstract: In time to event experiments the individuals under study are observed to experience some event of interest. If this event is not observed until the end of the experiment, censoring occurs, which is a common feature in such studies. We consider the proportional hazards model with type I and random censoring and determine locally $$D$$ D - and $$c$$ c -optimal designs for a larger class of nonlinear models with two parameters, where the experimental conditions can be selected from a finite discrete design region, as is often the case in practice. Additionally, we compute $$D$$ D -optimal designs for a three-parameter model on a continuous design region. Copyright Springer-Verlag Berlin Heidelberg 2015

Keywords: Censored data; $$D$$ D -optimality; $$c$$ c -optimality; Proportional hazards model; Discrete design region; 62K05; 62N01 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:metrik:v:78:y:2015:i:3:p:237-257

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DOI: 10.1007/s00184-014-0500-1

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