Graphical aid for determining power of clinical trials involving two groups.
- 10 September 1988
- Vol. 297 (6649) , 672-676
- https://doi.org/10.1136/bmj.297.6649.672
Abstract
Physicians need to evaluate clinical research critically, and determining the power of a study is an essential component of research evaluation. This report presents a graphical aid that permits rapid power determination for clinical trials with two groups. Power curves were developed for dichotomous outcomes by setting two tail alpha at 0.05 and varying the sample size, the control group response rate, and the clinically important difference between control and experimental groups as defined by the user. Use of the graphical aid was demonstrated to a group of 18 medical students, residents, fellows, and faculty in a 15 minute session. Evaluation of the trainees' application of the aid showed a small average bias of -0.0003 and an average variance of 0.006. Ninety percent of power estimates were within 0.05 of the true value determined by formula. This graphical aid is recommended as a rapid and accurate method for determining power in the critical appraisal of clinical research.Keywords
This publication has 18 references indexed in Scilit:
- THROMBOLYSIS WITH TISSUE PLASMINOGEN ACTIVATOR IN ACUTE MYOCARDIAL INFARCTION: NO ADDITIONAL BENEFIT FROM IMMEDIATE PERCUTANEOUS CORONARY ANGIOPLASTYThe Lancet, 1988
- Confidence intervals rather than P values: estimation rather than hypothesis testing.BMJ, 1986
- Use of Statistical Analysis inThe New England Journal of MedicineNew England Journal of Medicine, 1983
- Sample Size Nomograms For Interpreting Negative Clinical StudiesAnnals of Internal Medicine, 1983
- Transient ischemic attacks and aspirin, stroke and death; negative studies and Type II error.Stroke, 1983
- A New Series on BiostatisticsNew England Journal of Medicine, 1982
- Reporting on Methods in Clinical TrialsNew England Journal of Medicine, 1982
- Introduction to sample size determination and power analysis for clinical trialsControlled Clinical Trials, 1981
- Statistics and ethics in medical research: III How large a sample?BMJ, 1980
- The Importance of Beta, the Type II Error and Sample Size in the Design and Interpretation of the Randomized Control TrialNew England Journal of Medicine, 1978