Statistics, probability, significance, likelihood: Words mean what we define them to mean

Clinical and Experimental Pharmacology and Physiology

Volumn 38, Issue 9, 2011, Pages 555-558

  Drummond, Gordon B ^a   Tom, Brian D M ^b  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b MRC BIOSTATISTICS UNIT   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES THEOREM; EDITORIAL; HUMAN; INFORMATION PROCESSING; MAXIMUM LIKELIHOOD METHOD; NULL HYPOTHESIS; POPULATION; PREDICTION; PROBABILITY; QUALITY CONTROL; STATISTICAL SIGNIFICANCE; STATISTICS; STUDENT T TEST; STUDY DESIGN; UNCERTAINTY;

DATA INTERPRETATION, STATISTICAL; LIKELIHOOD FUNCTIONS; PROBABILITY; TERMINOLOGY AS TOPIC;

EID: 80052095050     PISSN: 03051870     EISSN: 14401681     Source Type: Journal    
DOI: 10.1111/j.1440-1681.2011.05570.x     Document Type: Editorial

References (3)

1. Student. The probable error of a mean. Biometrika 1908; 6: 1-25.
2. Sheskin DJ. Handbook of Parametric and Nonparametric Statistical Procedures, 4 edn. Chapman and Hall/CRC, Boca Raton. 2007.
3. Ludbrook J, Dudley H. Why permutation tests are superior to t and F tests in biomedical research. Am. Stat. 1998; 52: 127-32.