Sample size increase during a survival trial when interim results are promising

Yanning Liu and Pilar Lim

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 14, 6846-6863

Abstract: This paper is to extend Mehta and Pocock (2011) to provide a way in doing sample size increase in survival trials. Sample space is divided by observed test statistic at interim into three zones: unfavorable, promising, and favorable, within which sample size (required number of events) has a proper increase if falling into the promising zone and otherwise remains unchanged. Simulations with scenarios in the presence/absence of censoring, with/without adaptation, and allowing fourfolds versus twofolds of increase in sample size are compared.

Date: 2017
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DOI: 10.1080/03610926.2015.1137596

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