Cited by 36Animal testing and alternativesStatistical Methods in Clinical TrialsOptimal Experimental Design Methods

Statistical Design Considerations in Animal Studies Published Recently in Cancer Research

Hess, Kenneth R.·2011·Cancer Research

Abstract

Good statistical design is one hallmark of meritorious research. Elements such as replication, randomization, and blinding are widely recognized as being fundamental to producing valid research results ([1][1]). Although widely used in clinical research, these practices seem to be less often

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Crossref · 10.1158/0008-5472.can-10-3296

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6 of 6 references verified0 citation errors · 0 not checkable

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Authors
Hess, K. R.
Affiliations
The University of Texas MD Anderson Cancer Center (US)
Corresponding author
Hess, Kenneth R.
Venue
Cancer Research
Published
2011-01-13
Volume
71
Issue
2
Pages
625-625
ISSN
  • 0008-5472 (ISSN-L)
  • 1538-7445
OpenAlex
W2065594595
Cited by
36
References
6
Citations by year
2024: 2 · 2023: 2 · 2020: 5 · 2019: 2 · 2018: 3 · 2017: 9 · 2016: 2 · 2015: 4 · 2014: 4 · 2013: 1 · 2012: 2
FWCI
3.07
Type
journal article
Language
en
Open access
closed
Locations
  • Cancer Research (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
Keywords
statistical design, animal studies, replication, randomization, blinding, research validity
MeSH terms
Animals, Neoplasms, Periodicals as Topic, Research, Statistics as Topic

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