Symmetric two-sided group sequential design with Pocock pocock <- gsDesign(k = 5, test.type = 2, alpha = 0.025, sfu = "Pocock") K = 5, one-sided alpha = 0.025 (equivalent of 0.05 two-sided) Group Sequential Methods with equal intervalsįour interim analyses and 1 final analysis, equally spaced. Theĭefault value is ‘sfHSD’ which is a Hwang-Shih-DeCani Sfu: A spending function or a character string indicating aīoundary type (that is, “WT” for Wang-Tsiatis bounds, “OF”įor O'Brien-Fleming bounds and “Pocock” for Pocock bounds).įor one-sided and symmetric two-sided testing is used toĬompletely specify spending (‘test.type=1, 2’), ‘sfu’. Null hypothesis with non-binding lower bound.Īlpha: Type I error, always one-sided. ‘6=’two-sided, asymmetric, lower bound spending under the ‘5=’two-sided, asymmetric, lower bound spending under the ‘4=’two-sided, asymmetric, beta-spending with non-binding ‘3=’two-sided, asymmetric, beta-spending with binding lower Maxn.IPlan = 0, nFixSurv=0, endpoint=NULL, delta1=1, delta0=0) Load gsDesign for group sequential design library(gsDesign) Group Sequential Methods Group Sequential Methods References
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