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Annals of Internal Medicine
Volumn 162, Issue 1, 2015, Pages 73-74
TRIPOD: A new reporting baseline for developing and interpreting prediction models
Author keywords

[No Author keywords available]
Indexed keywords

BACTEREMIA; CHECKLIST; CLINICAL DECISION MAKING; CLINICAL PRACTICE; CLINICAL RESEARCH; COMPUTER ASSISTED TOMOGRAPHY; EDITORIAL; HUMAN; PATIENT CARE; PRACTICE GUIDELINE; PRIORITY JOURNAL; PROGNOSIS; PROGNOSTIC ASSESSMENT; RISK FACTOR; DECISION SUPPORT SYSTEM; DIAGNOSIS; STATISTICAL MODEL;
EID: 84925023734     PISSN: 00034819     EISSN: 15393704     Source Type: Journal    
DOI: 10.7326/M14-2423     Document Type: Editorial
Times cited : (19)
References (10)
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  • 2
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    • Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): Explanation and elaboration
    • Moons KG, Altman DG, Reitsma JB, Ioannidis JP, Macaskill P, Steyerberg EW, et al. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med. 2015;162:W1-73. doi: 10.7326/M14-0698
    • (2015) Ann Intern Med. , vol.162 , pp. W1-73
    • Moons, K.G.1    Altman, D.G.2    Reitsma, J.B.3    Ioannidis, J.P.4    Macaskill, P.5    Steyerberg, E.W.6
  • 3
    • 33947715604 scopus 로고    scopus 로고
    • Reproducible research: Moving toward research the public can really trust
    • [PMID: 17339612]
    • Laine C, Goodman SN, Griswold ME, Sox HC. Reproducible research: moving toward research the public can really trust. Ann Intern Med. 2007;146:450-3. [PMID: 17339612] doi:10.7326/0003-4819-146-6-200703200-00154
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  • 4
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    • Predicting intracranial traumatic findings on computed tomography in patients with minor head injury: The CHIP prediction rule
    • [PMID: 17371884]
    • Smits M, Dippel DW, Steyerberg EW, de Haan GG, Dekker HM, Vos PE, et al. Predicting intracranial traumatic findings on computed tomography in patients with minor head injury: the CHIP prediction rule. Ann Intern Med. 2007;146:397-405. [PMID: 17371884] doi: 10.7326/0003-4819-146-6-200703200-00004
    • (2007) Ann Intern Med. , vol.146 , pp. 397-405
    • Smits, M.1    Dippel, D.W.2    Steyerberg, E.W.3    De Haan, G.G.4    Dekker, H.M.5    Vos, P.E.6
  • 5
    • 7444219998 scopus 로고    scopus 로고
    • Clinicians required very high sensitivity of a bacteremia prediction rule
    • [PMID: 15528062]
    • Lautenbach E, Localio R, Nachamkin I. Clinicians required very high sensitivity of a bacteremia prediction rule. J Clin Epidemiol. 2004;57:1104-6. [PMID: 15528062]
    • (2004) J Clin Epidemiol. , vol.57 , pp. 1104-1106
    • Lautenbach, E.1    Localio, R.2    Nachamkin, I.3
  • 6
    • 78649907201 scopus 로고    scopus 로고
    • Everything you always wanted to know about evaluating prediction models (but were too afraid to ask)
    • [PMID: 21030068]
    • Vickers AJ, Cronin AM. Everything you always wanted to know about evaluating prediction models (but were too afraid to ask). Urology. 2010;76:1298-301. [PMID: 21030068] doi:10.1016/j .urology.2010.06.019
    • (2010) Urology. , vol.76 , pp. 1298-1301
    • Vickers, A.J.1    Cronin, A.M.2
  • 7
    • 84865614126 scopus 로고    scopus 로고
    • Predictive accuracy of the Liverpool Lung Project risk model for stratifying patients for computed tomography screening for lung cancer: A case-control and cohort validation study
    • [PMID: 22910935]
    • Raji OY, Duffy SW, Agbaje OF, Baker SG, Christiani DC, Cassidy A, et al. Predictive accuracy of the Liverpool Lung Project risk model for stratifying patients for computed tomography screening for lung cancer: a case-control and cohort validation study. Ann Intern Med. 2012;157:242-50. [PMID: 22910935] doi:10.7326/0003-4819-157-4-201208210-00004
    • (2012) Ann Intern Med. , vol.157 , pp. 242-250
    • Raji, O.Y.1    Duffy, S.W.2    Agbaje, O.F.3    Baker, S.G.4    Christiani, D.C.5    Cassidy, A.6
  • 8
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    • Net risk reclassification P values: Valid or misleading?
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    • Pepe MS, Janes H, Li CI. Net risk reclassification P values: valid or misleading? J Natl Cancer Inst. 2014;106:dju041. [PMID: 24681599] doi:10.1093/jnci/dju041
    • (2014) J Natl Cancer Inst. , vol.106 , pp. dju041
    • Pepe, M.S.1    Janes, H.2    Li, C.I.3
  • 10
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    • Assessing discriminative ability of risk models in clustered data
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    • van Klaveren D, Steyerberg EW, Perel P, Vergouwe Y. Assessing discriminative ability of risk models in clustered data. BMC Med Res Methodol. 2014;14:5. [PMID: 24423445] doi:10.1186/1471-2288-14-5
    • (2014) BMC Med Res Methodol. , vol.14 , pp. 5
    • Van Klaveren, D.1    Steyerberg, E.W.2    Perel, P.3    Vergouwe, Y.4

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.