Estimation and Confidence Intervals after Adjusting the Maximum Information

In a comparative clinical trial, if the maximum information is adjusted on the basis of unblinded data, the usual test statistic should be avoided due to possible type I error inflation. An adaptive test can be used as an alternative. The usual point estimate of the treatment effect and the usual co...

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Veröffentlicht in:	Biometrical journal 2003-03, Vol.45 (2), p.143-152
Hauptverfasser:	Lawrence, John, Hung, H.M. James
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive test Applications Biological and medical sciences Consistent Coverage probability Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects Interim analysis Mathematics Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Medical sciences Nonparametric inference Probability and statistics Sciences and techniques of general use Sequential monitoring Statistics
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Beschreibung
Zusammenfassung:	In a comparative clinical trial, if the maximum information is adjusted on the basis of unblinded data, the usual test statistic should be avoided due to possible type I error inflation. An adaptive test can be used as an alternative. The usual point estimate of the treatment effect and the usual confidence interval should also be avoided. In this article, we construct a point estimate and a confidence interval that are motivated by an adaptive test statistic. The estimator is consistent for the treatment effect and the confidence interval asymptotically has correct coverage probability.
ISSN:	0323-3847 1521-4036
DOI:	10.1002/bimj.200390001