Post hoc power analysis: An idea whose time has passed?

Pharmacotherapy

Volumn 21, Issue 4, 2001, Pages 405-409

  Levine, M ^a   Ensom, M H H ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CALCULATION; CLINICAL RESEARCH; MEDICAL LITERATURE; STATISTICAL ANALYSIS;

EID: 0035067145     PISSN: 02770008     EISSN: None     Source Type: Journal    
DOI: 10.1592/phco.21.5.405.34503     Document Type: Article

References (12)

1. The importance of beta, the type II error and sample size in the design and interpretation of the randomized control trial: Survey of 71 "negative" trials
2. Approaches to sample size estimation in the design of clinical trials - A review
3. When was a negative clinical trial big enough?: How many patients you needed depends on what you found
4. Some issues in the design and interpretation of "negative" clinical studies
5. Statistical inference
6. The use of predicted confidence intervals when planning experiments and the misuse of power when interpreting results
7. Confidence limit analyses should replace power calculations in the interpretation of epidemiologic studies
8. Allelic, genotypic and phenotypic distributions of S-mephenytoin 4′-hydroxylase (CYP2C19) in healthy Caucasian populations of European descent throughout the world
9. Toward evidence-based medical statistics. 2: The Bayes factor
10. Statistical power, sample size, and their reporting in randomized controlled trials
11. How to detect effects: Statistical power and evidence-based practice in occupational therapy research