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Adaptive Two Stage Designs and the Conditional Error Function
Author(s) -
Posch Martin,
Bauer Peter
Publication year - 1999
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/(sici)1521-4036(199910)41:6<689::aid-bimj689>3.0.co;2-p
Subject(s) - interim , statistics , mathematics , sample size determination , function (biology) , construct (python library) , power function , stage (stratigraphy) , computer science , econometrics , algorithm , paleontology , mathematical analysis , archaeology , history , programming language , evolutionary biology , biology
Proschan and Hunsberger (1995) suggest the use of a conditional error function to construct a two stage test that meets the α level and allows a very flexible reassessment of the sample size after the interim analysis. In this note we show that several adaptive designs can be formulated in terms of such an error function. The conditional power function defined similarly provides a simple method for sample size reassessment in adaptive two stage designs.