Literature DB >> 7613556

Dose response studies. I. Some design considerations.

S J Ruberg1.   

Abstract

A critical aspect of biomedical research is the characterization of the dose response relationship of a compound. This is true in laboratory experiments and clinical trials and pertains to efficacy, safety, and the resulting benefit/risk ratio. Presented here is Part I of this article, which deals with some clinical trial design issues surrounding dose response studies. Some additional comments are made about trials for identifying the minimum effective dose, randomized concentration controlled trials, and the use of one-sided hypotheses in designing such trials. Part II is a separate paper reviewing some analysis strategies for dose response studies.

Mesh:

Year:  1995        PMID: 7613556     DOI: 10.1080/10543409508835096

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


  5 in total

1.  Statistical Methods for Selecting Maximum Effective Dose and Evaluating Treatment Effect When Dose - Response is Monotonic.

Authors:  Maiying Kong; Shesh N Rai; Roberto Bolli
Journal:  Stat Biopharm Res       Date:  2014-01-02       Impact factor: 1.452

2.  Practical considerations for optimal designs in clinical dose finding studies.

Authors:  Frank Bretz; Holger Dette; Jose C Pinheiro
Journal:  Stat Med       Date:  2010-03-30       Impact factor: 2.373

3.  Measuring dosage: a key factor when assessing the relationship between prenatal case management and birth outcomes.

Authors:  Jaime C Slaughter; L Michele Issel; Arden S Handler; Deborah Rosenberg; Debra J Kane; Leslie T Stayner
Journal:  Matern Child Health J       Date:  2013-10

4.  Spline-based procedures for dose-finding studies with active control.

Authors:  Hans-Joachim Helms; Norbert Benda; Jörg Zinserling; Thomas Kneib; Tim Friede
Journal:  Stat Med       Date:  2014-10-16       Impact factor: 2.373

5.  Dose-finding based on bivariate efficacy-toxicity outcome using Archimedean Copula.

Authors:  Yuxi Tao; Junlin Liu; Zhihui Li; Jinguan Lin; Tao Lu; Fangrong Yan
Journal:  PLoS One       Date:  2013-11-12       Impact factor: 3.240

  5 in total

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