| Literature DB >> 30866739 |
Abstract
Whenever an experiment yields a statistically significant outcome you should ask yourself: To what extent can I trust this result? This is especially important for pre-clinical drug studies because of the frequent failures of phase III clinical trials of neurological diseases, which has put the reliability of pre-clinical research into question. Two important factors, the pre-study likelihood of treatment benefit, and statistical power, affects the reliability of the result in a quantifiable way. This can be used to assess to what extent the result of a study can be trusted (discovery reliability), and to guide the design of pre-clinical research.Entities:
Keywords: Animal models; animal studies; biostatistics; clinical trial design; mathematical modeling
Mesh:
Year: 2019 PMID: 30866739 PMCID: PMC6547187 DOI: 10.1177/0271678X19837015
Source DB: PubMed Journal: J Cereb Blood Flow Metab ISSN: 0271-678X Impact factor: 6.200