Literature DB >> 23070590

Obtaining evidence by a single well-powered trial or several modestly powered trials.

Joanna IntHout1, John Pa Ioannidis2, George F Borm3.   

Abstract

There is debate whether clinical trials with suboptimal power are justified and whether results from large studies are more reliable than the (combined) results of smaller trials. We quantified the error rates for evaluations based on single conventionally powered trials (80% or 90% power) versus evaluations based on the random-effects meta-analysis of a series of smaller trials. When a treatment was assumed to have no effect but heterogeneity was present, the error rates for a single trial were increased more than 10-fold above the nominal rate, even for low heterogeneity. Conversely, for meta-analyses on a series of trials, the error rates were correct. When selective publication was present, the error rates were always increased, but they still tended to be lower for a series of trials than single trials. We conclude that evidence of efficacy based on a series of (smaller) trials, may lower the error rates compared with using a single well-powered trial. Only when both heterogeneity and selective publication can be excluded, a single trial is able to provide conclusive evidence.
© The Author(s) 2012.

Keywords:  Clinical trial; heterogeneity; meta-analysis; publication bias; type I error

Mesh:

Year:  2012        PMID: 23070590     DOI: 10.1177/0962280212461098

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  15 in total

1.  Confidence and precision increase with high statistical power.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-07-03       Impact factor: 34.870

2.  Methods to increase reproducibility in differential gene expression via meta-analysis.

Authors:  Timothy E Sweeney; Winston A Haynes; Francesco Vallania; John P Ioannidis; Purvesh Khatri
Journal:  Nucleic Acids Res       Date:  2016-09-14       Impact factor: 16.971

3.  Most psychotherapies do not really work, but those that might work should be assessed in biased studies.

Authors:  J P A Ioannidis
Journal:  Epidemiol Psychiatr Sci       Date:  2016-03-08       Impact factor: 6.892

Review 4.  Effect of Early Versus Late Tracheostomy or Prolonged Intubation in Critically Ill Patients with Acute Brain Injury: A Systematic Review and Meta-Analysis.

Authors:  Victoria A McCredie; Aziz S Alali; Damon C Scales; Neill K J Adhikari; Gordon D Rubenfeld; Brian H Cuthbertson; Avery B Nathens
Journal:  Neurocrit Care       Date:  2017-02       Impact factor: 3.210

Review 5.  Is network meta-analysis as valid as standard pairwise meta-analysis? It all depends on the distribution of effect modifiers.

Authors:  Jeroen P Jansen; Huseyin Naci
Journal:  BMC Med       Date:  2013-07-04       Impact factor: 8.775

6.  Thresholds for statistical and clinical significance in systematic reviews with meta-analytic methods.

Authors:  Janus Christian Jakobsen; Jørn Wetterslev; Per Winkel; Theis Lange; Christian Gluud
Journal:  BMC Med Res Methodol       Date:  2014-11-21       Impact factor: 4.615

7.  The earth is flat (p > 0.05): significance thresholds and the crisis of unreplicable research.

Authors:  Valentin Amrhein; Fränzi Korner-Nievergelt; Tobias Roth
Journal:  PeerJ       Date:  2017-07-07       Impact factor: 2.984

8.  Trial Sequential Analysis in systematic reviews with meta-analysis.

Authors:  Jørn Wetterslev; Janus Christian Jakobsen; Christian Gluud
Journal:  BMC Med Res Methodol       Date:  2017-03-06       Impact factor: 4.615

9.  Comparison of minimally invasive direct coronary artery bypass and drug-eluting stents for management of isolated left anterior descending artery disease: a systematic review and meta-analysis of 7,710 patients.

Authors:  Shahzad G Raja; Mohsin Uzzaman; Sheena Garg; Gowthanan Santhirakumaran; Michelle Lee; Manish K Soni; Habib Khan
Journal:  Ann Cardiothorac Surg       Date:  2018-09

10.  The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method.

Authors:  Joanna IntHout; John P A Ioannidis; George F Borm
Journal:  BMC Med Res Methodol       Date:  2014-02-18       Impact factor: 4.615

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.