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Volumn 316, Issue 17, 2016, Pages 1818-1819

Confounding by indication in clinical research

Author keywords

[No Author keywords available]

Indexed keywords

ASTHMA; CANCER MORTALITY; CANCER PROGNOSIS; CARDIOPULMONARY ARREST; CLINICAL RESEARCH; COFFEE; CONFOUNDING VARIABLE; CYSTIC FIBROSIS; DISEASE SEVERITY; HEALTH INSURANCE; HUMAN; LUNG CANCER; MEDICAL CARE; OBSERVATIONAL STUDY; PRIORITY JOURNAL; REVIEW; RISK FACTOR; SMOKING; UPPER RESPIRATORY TRACT OBSTRUCTION; EPIDEMIOLOGY; MEDICAL RESEARCH; METHODOLOGY; STATISTICAL BIAS;

EID: 84997531276     PISSN: 00987484     EISSN: 15383598     Source Type: Journal    
DOI: 10.1001/jama.2016.16435     Document Type: Review
Times cited : (334)

References (9)
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    • Tolles J, MeurerWJ. Logistic regression: relating patient characteristics to outcomes. JAMA. 2016; 316(5):533-534.
    • (2016) JAMA , vol.316 , Issue.5 , pp. 533-534
    • Tolles, J.1    Meurer, W.J.2
  • 6
    • 84944590264 scopus 로고    scopus 로고
    • The propensity score
    • Haukoos JS, Lewis RJ. The propensity score. JAMA. 2015;314(15):1637-1638.
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    • Haukoos, J.S.1    Lewis, R.J.2
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    • The impact of residual and unmeasured confounding in epidemiologic studies: A simulation study
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    • (2007) Am J Epidemiol , vol.166 , Issue.6 , pp. 646-655
    • Fewell, Z.1    Davey Smith, G.2    Sterne, J.A.3
  • 9
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    • Confounding and confounders
    • McNamee R. Confounding and confounders. Occup Environ Med. 2003;60(3):227-234.
    • (2003) Occup Environ Med , vol.60 , Issue.3 , pp. 227-234
    • McNamee, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.