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Volumn 18, Issue 2, 2015, Pages 137-140

Potential application of machine learning in health outcomes research and some statistical cautions

Author keywords

machine learning; outcomes research; treatment effects

Indexed keywords

BIOLOGICAL MARKER;

EID: 84924968592     PISSN: 10983015     EISSN: 15244733     Source Type: Journal    
DOI: 10.1016/j.jval.2014.12.005     Document Type: Conference Paper
Times cited : (77)

References (9)
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    • Four health data networks illustrate the potential for a shared national multipurpose big-data network
    • L. Curtis, J. Brown, and R. Platt Four health data networks illustrate the potential for a shared national multipurpose big-data network Health Affairs 33 2014 1178 1186
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  • 4
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    • Optum Labs: Building a novel node in the learning health care system
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    • Wallace, P.1    Shah, N.2    Dennon, T.3
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    • Random forests
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    • Breiman, L.1
  • 7
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • R. Tibshirani Regression shrinkage and selection via the lasso J R Stat Soc Series B Stat Methodol 58 1996 267 288
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    • Tibshirani, R.1
  • 8
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    • Some cautions on the use of instrumental variables (IV) estimators in outcomes research: How bias in IV estimators is affected by instrument strength, instrument contamination, and sample size
    • W. Crown, H. Henk, and D. Van Ness Some cautions on the use of instrumental variables (IV) estimators in outcomes research: how bias in IV estimators is affected by instrument strength, instrument contamination, and sample size Value Health 14 2001 1078 1084
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    • Crown, W.1    Henk, H.2    Van Ness, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.