Literature DB >> 20183465

Missing data in biologic oncology products.

Mark D Rothmann1, Kallappa Koti, Kyung Yul Lee, Hong Laura Lu, Yuan Li Shen.   

Abstract

The intent-to-treat principle requires analyses according to the treatment groups to which patients were randomized and that patients be followed to the occurrence of the endpoint or the end of study. This provides unbiased comparisons with valid p values. For many trials the limitations of the data will not be known until the data are analyzed. In this article, the loss-to-follow-up with respect to the intent-to-treat principle on the most important efficacy endpoints was evaluated for clinical trials of anticancer biologic products submitted to the FDA from August 2005 to October 2008. We provide recommendations in light of the results.

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Year:  2009        PMID: 20183465     DOI: 10.1080/10543400903242993

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


  1 in total

1.  A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring.

Authors:  Yue Zhao; Amy H Herring; Haibo Zhou; Mirza W Ali; Gary G Koch
Journal:  J Biopharm Stat       Date:  2014       Impact factor: 1.051

  1 in total

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