Literature DB >> 7754260

Small clinical trials: are they all bad?

J N Matthews1.   

Abstract

Statisticians have long argued that randomized controlled trials should be sufficiently large to achieve their purpose, and for common diseases with major public health implications this has brought many benefits. However, there are many instances where it is unrealistic to expect clinicians to provide the information on which sample sizes are calculated and undue emphasis on trial size can be counterproductive. Examples of such trials are given and some general issues discussed, including the unhelpful contribution of hypothesis testing, the need for replication and the role of the statistician.

Mesh:

Year:  1995        PMID: 7754260     DOI: 10.1002/sim.4780140204

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


  9 in total

Review 1.  Peer review of statistics in medical research: the other problem.

Authors:  Peter Bacchetti
Journal:  BMJ       Date:  2002-05-25

2.  Publication bias in clinical trials and economic analyses.

Authors:  N Freemantle; J Mason
Journal:  Pharmacoeconomics       Date:  1997-07       Impact factor: 4.981

3.  Breaking free of sample size dogma to perform innovative translational research.

Authors:  Peter Bacchetti; Steven G Deeks; Joseph M McCune
Journal:  Sci Transl Med       Date:  2011-06-15       Impact factor: 17.956

Review 4.  Essential statistical principles of clinical trials of pain treatments.

Authors:  Robert H Dworkin; Scott R Evans; Omar Mbowe; Michael P McDermott
Journal:  Pain Rep       Date:  2020-12-18

Review 5.  Current sample size conventions: flaws, harms, and alternatives.

Authors:  Peter Bacchetti
Journal:  BMC Med       Date:  2010-03-22       Impact factor: 8.775

6.  Delta inflation: a bias in the design of randomized controlled trials in critical care medicine.

Authors:  Scott K Aberegg; D Roxanne Richards; James M O'Brien
Journal:  Crit Care       Date:  2010-04-29       Impact factor: 9.097

7.  Conditional equivalence testing: An alternative remedy for publication bias.

Authors:  Harlan Campbell; Paul Gustafson
Journal:  PLoS One       Date:  2018-04-13       Impact factor: 3.240

8.  Efficacy of vitamin C as an adjunct to fluoxetine therapy in pediatric major depressive disorder: a randomized, double-blind, placebo-controlled pilot study.

Authors:  Mostafa Amr; Ahmed El-Mogy; Tarek Shams; Karen Vieira; Shaheen E Lakhan
Journal:  Nutr J       Date:  2013-03-09       Impact factor: 3.271

Review 9.  Sarcoma-The standard-bearer in cancer discovery.

Authors:  Jared W Potter; Kevin B Jones; Jared J Barrott
Journal:  Crit Rev Oncol Hematol       Date:  2018-03-29       Impact factor: 6.312

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.