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Object |
| contentType |
Journal Article|Research Support, N.I.H., Extramural|Research Support, Non-U.S. Gov't|Research Support, U.S. Gov't, Non-P.H.S. |
| issn |
1471-2288 |
| issueIdentifier |
1 |
| pageRange |
18- |
| publicationName |
BMC Medical Research Methodology |
| startingPage |
18 |
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| bibliographicCitation |
Hayward RA, Kent DM, Vijan S, Hofer TP. Multivariable risk prediction can greatly enhance the statistical power of clinical trial subgroup analysis. BMC Medical Research Methodology. 2006 Apr 13;6(1):18. doi: 10.1186/1471-2288-6-18. |
| creator |
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_e1c39d5656ee4a20f2c35f48d29a0ee1
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http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_439565ccd12c3f020e1fc0a04645eff5 |
| date |
2006-04-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://pubmed.ncbi.nlm.nih.gov/16613605
https://doi.org/10.1186/1471-2288-6-18
https://pubmed.ncbi.nlm.nih.gov/PMC1523355 |
| isPartOf |
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22023
https://portal.issn.org/resource/ISSN/1471-2288 |
| language |
English |
| source |
https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/
https://scigraph.springernature.com/ |
| title |
Multivariable risk prediction can greatly enhance the statistical power of clinical trial subgroup analysis |