We are not born knowing how to design and analyse scientific experiments

Alternatives to Laboratory Animals

Volumn 41, Issue PILAS 2-2, 2013, Pages 19-21

  Festing, Michael F W ^a  

^a RUSSELL AND BURCH HOUSE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

RILUZOLE;

AMYOTROPHIC LATERAL SCLEROSIS; CANCER RESEARCH; CLINICAL RESEARCH; DRUG INDUSTRY; EXPERIMENTAL ANIMAL; EXPERIMENTAL DESIGN; MEDICAL RESEARCH; NONHUMAN; NOTE; PRIORITY JOURNAL; PUBLICATION; SCIENTIFIC LITERATURE; SCIENTIST;

EID: 84881107007     PISSN: 02611929     EISSN: None     Source Type: Journal    
DOI: 10.1177/026119291304100212     Document Type: Note

References (5)

1. Hill, A.B. (1966). Principles of Medical Statistics, 381pp. London, UK: The Lancet.
2. Sarewitz, D. (2012). Beware the creeping cracks of bias. Nature 485, 149.
3. Kilkenny, C., Parsons, N., Kadyszewski, E., Festing, M.F., Cuthill, I.C., Fry, D., Hutton, J. & Altman, D.G. (2009). Survey of the quality of experimental design, statistical analysis and reporting of research using animals. PLoS One 4, e7824.
4. Begley, C.G. & Ellis, L.M. (2012). Drug development: Raise standards for preclinical cancer research. Nature 483, 531-533.
5. Prinz, F., Schlange, T. & Asadullah, K. (2011). Believe it or not: How much can we rely on published data on potential drug targets? Nature Reviews Drug Discovery 10, 712.