Literature DB >> 16022170

Inference for clinical trials with some protocol amendments.

Shein-Chung Chow1, Jun Shao.   

Abstract

The use of adaptive methods in clinical development has become very popular in recent years due to its flexibility in modifying trial procedures and/or statistical procedures of on-going clinical trials. Modifications to trial procedures are usually documented by protocol amendments. However, the actual patient population after protocol amendments could deviate from the originally targeted patient population. In addition, protocol amendments made based on accrued data of the on-going trial may distort the sampling distribution of the statistic designed for the case of no protocol change. In this article, we model the population deviations due to protocol amendments using some covariates and study how to develop a valid statistical inference procedure. An example concerning an asthma trial is presented for illustration.

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Year:  2005        PMID: 16022170     DOI: 10.1081/BIP-200062286

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  4 in total

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Authors:  Rajiv Mahajan; Kapil Gupta
Journal:  Indian J Pharmacol       Date:  2010-08       Impact factor: 1.200

2.  Statistical Evaluation of Clinical Trials Under COVID-19 Pandemic.

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Journal:  Ther Innov Regul Sci       Date:  2020-06-24       Impact factor: 1.778

Review 3.  Adaptive design methods in clinical trials - a review.

Authors:  Shein-Chung Chow; Mark Chang
Journal:  Orphanet J Rare Dis       Date:  2008-05-02       Impact factor: 4.123

4.  The statistical analysis of a clinical trial when a protocol amendment changed the inclusion criteria.

Authors:  Christian Lösch; Markus Neuhäuser
Journal:  BMC Med Res Methodol       Date:  2008-04-08       Impact factor: 4.615

  4 in total

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