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Volumn 125, Issue 5, 1996, Pages 406-412

Predicting Clinical States in Individual Patients

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; CASE REPORT; FEMALE; HUMAN; MALE; MELANOMA; MIDDLE AGED; MORTALITY; PATIENT CARE PLANNING; REVIEW; SKIN TUMOR; STATISTICAL MODEL; SURVIVAL;

EID: 0030239603     PISSN: 00034819     EISSN: None     Source Type: Journal    
DOI: 10.7326/0003-4819-125-5-199609010-00008     Document Type: Review
Times cited : (135)

References (28)
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  • 5
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    • Tutorial in biostatistics. Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • Harrell FE Jr, Lee KL, Mark DB. Tutorial in biostatistics. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med. 1996;15:361-87.
    • (1996) Stat Med. , vol.15 , pp. 361-387
    • Harrell Jr., F.E.1    Lee, K.L.2    Mark, D.B.3
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    • The importance of assessing the fit of logistic regression models: A case study
    • Hosmer DW, Taber S, Lemeshow S. The importance of assessing the fit of logistic regression models: a case study. Am J Public Health. 1991;81:1630-5.
    • (1991) Am J Public Health , vol.81 , pp. 1630-1635
    • Hosmer, D.W.1    Taber, S.2    Lemeshow, S.3
  • 14
    • 0028291009 scopus 로고
    • Users' guides to the medical literature. V. How to use an article about prognosis
    • Evidence-Based Medicine Working Group
    • Laupacis A, Wells G, Richardson WS, Tugwell P. Users' guides to the medical literature. V. How to use an article about prognosis. Evidence-Based Medicine Working Group. JAMA. 1994;272:234-7.
    • (1994) JAMA , vol.272 , pp. 234-237
    • Laupacis, A.1    Wells, G.2    Richardson, W.S.3    Tugwell, P.4
  • 15
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    • Confidence intervals extract clinically useful information from data
    • Braitman LE. Confidence intervals extract clinically useful information from data [Editorial]. Ann Intern Med. 1988;108:296-8.
    • (1988) Ann Intern Med. , vol.108 , pp. 296-298
    • Braitman, L.E.1
  • 19
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    • Regression models for prognostic prediction: Advantages, problems, and suggested solutions
    • Harrell FE Jr, Lee KL, Matchar DB, Reichert TA. Regression models for prognostic prediction: advantages, problems, and suggested solutions. Cancer Treat Rep. 1985;69:1071-7.
    • (1985) Cancer Treat Rep. , vol.69 , pp. 1071-1077
    • Harrell Jr., F.E.1    Lee, K.L.2    Matchar, D.B.3    Reichert, T.A.4
  • 20
    • 0028047812 scopus 로고
    • Statistical approaches to development and validation of predictive instruments
    • Ruttimann UE. Statistical approaches to development and validation of predictive instruments. Crit Care Clin. 1994;10:19-35.
    • (1994) Crit Care Clin. , vol.10 , pp. 19-35
    • Ruttimann, U.E.1
  • 23
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    • Computer-intensive methods in statistics
    • Diaconis P, Efron B. Computer-intensive methods in statistics. Scientific American. 1983;248:116-30.
    • (1983) Scientific American , vol.248 , pp. 116-130
    • Diaconis, P.1    Efron, B.2
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    • The risk of determining risk with multivariable models
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    • Concato, J.1    Feinstein, A.R.2    Holford, T.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.