Good statistical practice in pharmacology Problem 2

British Journal of Pharmacology

Volumn 152, Issue 3, 2007, Pages 299-303

  Lew, M ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Analysis of variance; Data interpretation; Data transformation; Monte Carlo method; Randomized block; Research design; Statistical analysis

Indexed keywords

DRUG;

ANALYSIS OF VARIANCE; CELL CULTURE; CORRELATION ANALYSIS; DATA ANALYSIS; DRUG EFFICACY; EXPERIMENT; INTERMETHOD COMPARISON; MEDICAL RESEARCH; METHODOLOGY; MONTE CARLO METHOD; PRIORITY JOURNAL; RANDOMIZATION; REVIEW; STATISTICAL ANALYSIS; STUDENT T TEST;

ANALYSIS OF VARIANCE; ANIMALS; BIAS (EPIDEMIOLOGY); CELLS, CULTURED; DATA INTERPRETATION, STATISTICAL; MONTE CARLO METHOD; PHARMACOLOGY; RESEARCH DESIGN;

EID: 34848861444     PISSN: 00071188     EISSN: 14765381     Source Type: Journal    
DOI: 10.1038/sj.bjp.0707372     Document Type: Review

References (1)

1. Lew MJ (2006). When there should be no difference - how to fail to reject the null hypothesis. Trends Pharm Sci 27: 274-278.