Literature DB >> 10700736

Optimal treatment allocation in comparative biomedical studies.

W Zhu1, W K Wong.   

Abstract

In clinical trials involving several treatment protocols, there are usually several objectives of different importance. A general method for finding an optimal design which reflects this practical need is discussed. In particular, we show that the graphical method of Cook and Wong can be applied when there are two objectives. Several illustrative examples are discussed, including multiple-objective designs for comparing several treatment groups with a placebo group. Copyright 2000 John Wiley & Sons, Ltd.

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Year:  2000        PMID: 10700736     DOI: 10.1002/(sici)1097-0258(20000315)19:5<639::aid-sim380>3.0.co;2-k

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  Implementing Optimal Designs for Dose-Response Studies Through Adaptive Randomization for a Small Population Group.

Authors:  Yevgen Ryeznik; Oleksandr Sverdlov; Andrew C Hooker
Journal:  AAPS J       Date:  2018-07-19       Impact factor: 4.009

2.  Optimal treatment allocation for placebo-treatment comparisons in trials with discrete-time survival endpoints.

Authors:  Mirjam Moerbeek; Weng-Kee Wong
Journal:  Stat Med       Date:  2015-06-28       Impact factor: 2.373

3.  Experimental designs for a benign paroxysmal positional vertigo model.

Authors:  Santiago Campos-Barreiro; Jesús López-Fidalgo
Journal:  Theor Biol Med Model       Date:  2013-03-19       Impact factor: 2.432

  3 in total

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