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Group sequential testing in clinical trials with multivariate observations: A review
Author(s) -
Lee Jae Won
Publication year - 1994
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.4780130202
Subject(s) - multivariate statistics , parametric statistics , interim , statistics , interim analysis , clinical trial , multivariate analysis , type i and type ii errors , computer science , medicine , mathematics , archaeology , history
Abstract Most group sequential testing procedures assume that each patient has only one response. Thus interim test statistics have independent increments. In many clinical trials, however, a response variable is measured at each follow‐up visit. In this article, I review some recently developed group sequential methods for repeated measures and for other types of multivariate responses. Six parametric methods and three non‐parametric methods are included. My review focuses on the comparison of the assumptions made and the applications of each of these methods.