AGSDest Estimation in adaptive group sequential trials
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AGSDest Ranking & Summary

AGSDest Tags

Cost Estimation sequential naming sequential Adaptive Testing interval estimation Time estimation motion adaptive adaptive planning adaptive CFF3 estimation sequential Gaussian simulation Adaptive Median Adaptive algorithm software estimation parameter estimation Adaptive Environment adaptive filters adaptive systems disparity estimation sequential screens FDR estimation haplotype estimation sequential programming distribution estimation performance estimation Estimation Creator osmosis estimation ProCurve Adaptive Edge detect adaptive evolution R function sequential design multivariate estimation large phylogeny estimation large phylogenies estimation duct estimation effort estimation HVAC estimation print estimation Trials of Werlin moto trials game sequential autoresponders

AGSDest Description

The AGSDest package will allow you to compute repeated confidence intervals as well as confidence intervals based on the stage-wise ordering in groug sequential designs and adaptive groug sequential designs. For adaptive group sequential designs the confidence intervals are based on the conditional rejection probability principle of Mueller and Schaefer (2001). This principle allows us to perform data dependent changes to the sample size, the spending function, and the number and spacing of interim looks while preserving the overall type I error rate. Currently the procedures do not support the use of futility boundaries as well as more than one adaptive interim analysis. Furthermore, the package is currently restricted to the computation of lower one-sided confidence intervals.

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