Methods for Assessing Noninferiority with Censored Data
Copyright policy )Methods for Assessing Noninferiority with Censored Data
AbstractIn this paper we present the existing approaches to the problem of showing noninferiority with randomly right censored data. The main focus is on the choice of the discrepancy measure which is used to define the deviation from the classical null hypothesis, i.e. the noninferiority margin. Most methods are based on certain parametric or semiparametric assumptions. In contrast, a new, completely nonparametric approach is suggested and discussed. (© 2005 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
- University of Göttingen Germany
Biometry, Bias, Drug Therapy, Therapeutic Equivalency, Data Interpretation, Statistical, Research, Confidence Intervals, Drug Evaluation, Guidelines as Topic, Randomized Controlled Trials as Topic
Biometry, Bias, Drug Therapy, Therapeutic Equivalency, Data Interpretation, Statistical, Research, Confidence Intervals, Drug Evaluation, Guidelines as Topic, Randomized Controlled Trials as Topic
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