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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Repeated Confidence Intervals in Self-Organizing Studies
verfasst von : Joachim Hartung, Guido Knapp
Erschienen in: Data Analysis and Decision Support
Verlag: Springer Berlin Heidelberg
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By using the generalized inverse chi-square method of transforming p-values in self-organizing studies as introduced by Hartung and Knapp (2003), one can construct a two-sided confidence interval for the parameter of interest after each realized sequential stage. Provided that in each sequential stage an unbiased estimate of the parameter of interest is available, the repeated confidence intervals always hold the nominal confidence level even in case of early stopping the trial. Moreover, the repeated confidence intervals are always nested, that is, an interval calculated after a performed stage is completely included in all the previous calculated intervals. The use of p-values in the present approach allows the calculation of confidence intervals for various parameters given a suitable test statistic and an unbiased estimate in each sequential stage.