Statistics in pharmacology

British Journal of Pharmacology

Volumn 152, Issue 3, 2007, Pages 291-293

  Spina, D ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

ANOVA; Experimental design; Null hypothesis; Student's t test; Type I error

Indexed keywords

ANALYTICAL ERROR; CONFIDENCE INTERVAL; DATA ANALYSIS; DRUG EFFECT; EXPERIMENTAL DESIGN; FALSE POSITIVE RESULT; MEDICAL RESEARCH; PHARMACOLOGY; POST HOC ANALYSIS; PRIORITY JOURNAL; RANDOMIZATION; REVIEW; STATISTICAL ANALYSIS; STATISTICS; STUDENT T TEST; VARIANCE;

ANIMALS; DATA INTERPRETATION, STATISTICAL; DRUG DESIGN; HUMANS; PHARMACOLOGY; RESEARCH DESIGN; STATISTICS AS TOPIC;

EID: 34848818874     PISSN: 00071188     EISSN: 14765381     Source Type: Journal    
DOI: 10.1038/sj.bjp.0707371     Document Type: Review

References (7)

1. Armstrong RA, Slade SV, Eperjesi F (2000). An introduction to analysis of variance (ANOVA) with special reference to data from clinical experiments in optometry. Ophthalmic Physiol Opt 20: 235-241.
2. Festing MF (2003). Principles: the need for better experimental design. Trends Pharmacol Sci 24: 341-345.
3. Lew MJ (2007a). Good statistical practice in pharmacology: problem 1. Br J Pharmacol 152: 295-298 (this issue).
4. Lew MJ (2007b). Good statistical practice in pharmacology: problem 2. Br J Pharmacol 152: 299-304 (this issue).
5. Matthews JN, Altman DG, Campbell MJ, Royston P (1990). Analysis of serial measurements in medical research. BMJ 300: 230-235.
6. Perel P, Roberts I, Sena E, Wheble P, Briscoe C, Sandercock P et al. (2007). Comparison of treatment effects between animal experiments and clinical trials: systematic review. BMJ 334: 197-200.
7. Wallenstein S, Zucker CL, Fleiss JL (1980). Some statistical methods useful in circulation research. Circ Res 47: 1-9.