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Volumn 34, Issue 2, 2015, Pages 317-342

A PRIM approach to predictive-signature development for patient stratification

Author keywords

Biomarker; Patient rule induction method (PRIM); Patient stratification; Predictive signature; Subgroup analysis

Indexed keywords

CYCLOPHOSPHAMIDE; DOXORUBICIN; PREDNISONE; RITUXIMAB; TAMOXIFEN; VINCRISTINE; ANTIESTROGEN; ANTINEOPLASTIC AGENT; BIOLOGICAL MARKER; ESTROGEN RECEPTOR;

EID: 84916228481     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6343     Document Type: Article
Times cited : (37)

References (19)
  • 3
    • 20744449782 scopus 로고    scopus 로고
    • Adaptive risk group refinement
    • LeBlanc M, Moon J, Crowley J. Adaptive risk group refinement. Biometrics 2005; 61:370-378.
    • (2005) Biometrics , vol.61 , pp. 370-378
    • LeBlanc, M.1    Moon, J.2    Crowley, J.3
  • 5
    • 35248840073 scopus 로고    scopus 로고
    • An application of the patient rule-induction method for evaluating the contribution of the Apolipoprotein E and Lipoprotein Lipase genes to predicting ischemic heart disease
    • Dyson G, Frikke-Schmidt R, Nordestgaard BG, Tybjærg-Hansen A, Sing CF. An application of the patient rule-induction method for evaluating the contribution of the Apolipoprotein E and Lipoprotein Lipase genes to predicting ischemic heart disease. Genetic Epidemiology 2007; 31:515-527.
    • (2007) Genetic Epidemiology , vol.31 , pp. 515-527
    • Dyson, G.1    Frikke-Schmidt, R.2    Nordestgaard, B.G.3    Tybjærg-Hansen, A.4    Sing, C.F.5
  • 6
    • 39749192581 scopus 로고    scopus 로고
    • Applying PRIM (patient rule induction method) and logistic regression for selecting high-risk subgroups in very elderly ICU patients
    • Nannings B, Abu-Hanna A, deJonge E. Applying PRIM (patient rule induction method) and logistic regression for selecting high-risk subgroups in very elderly ICU patients. International Journal of Medical Informatics 2008; 77:272-279.
    • (2008) International Journal of Medical Informatics , vol.77 , pp. 272-279
    • Nannings, B.1    Abu-Hanna, A.2    deJonge, E.3
  • 8
    • 27644473876 scopus 로고    scopus 로고
    • Responder identification in clinical trials with censored data
    • Kehl V, Ulm K. Responder identification in clinical trials with censored data. Computational Satistics and Data Analysis 2006; 50:1338-1355.
    • (2006) Computational Satistics and Data Analysis , vol.50 , pp. 1338-1355
    • Kehl, V.1    Ulm, K.2
  • 9
    • 78650650451 scopus 로고    scopus 로고
    • Adaptive index models for marker-based risk stratification
    • Tian L, Tibshirani R. Adaptive index models for marker-based risk stratification. Biostatistics 2011; 12(1):68-86.
    • (2011) Biostatistics , vol.12 , Issue.1 , pp. 68-86
    • Tian, L.1    Tibshirani, R.2
  • 10
    • 84916237727 scopus 로고    scopus 로고
    • Searching for clinically interesting subgroups using patient rule induction method
    • Eastern North American Region (ENAR) Spring Meeting, Miami, Florida
    • Lin X, Parks D, Cheng J, Lee K. Searching for clinically interesting subgroups using patient rule induction method. 24c. Eastern North American Region (ENAR) Spring Meeting, Miami, Florida, 2011.
    • (2011) , pp. 24c
    • Lin, X.1    Parks, D.2    Cheng, J.3    Lee, K.4
  • 13
    • 80051894060 scopus 로고    scopus 로고
    • Subgroup identification based on differential effect search-a recursive partitioning method for establishing response to treatment in patient subpopulations
    • Lipkovich I, Dmitrienko A, Denne J, Enas G. Subgroup identification based on differential effect search-a recursive partitioning method for establishing response to treatment in patient subpopulations. Statistics in Medicine 2011; 30:2601-2621.
    • (2011) Statistics in Medicine , vol.30 , pp. 2601-2621
    • Lipkovich, I.1    Dmitrienko, A.2    Denne, J.3    Enas, G.4
  • 17
    • 21644435923 scopus 로고    scopus 로고
    • Tree-structured subgroup analysis for censored survival data: validation of computationally inexpensive model selection criteria
    • Negassa A, Ciampi A, Abrahamowicz M, Shapiro S, Boivin J. Tree-structured subgroup analysis for censored survival data: validation of computationally inexpensive model selection criteria. Statistics and Computing 2005; 15:231-239.
    • (2005) Statistics and Computing , vol.15 , pp. 231-239
    • Negassa, A.1    Ciampi, A.2    Abrahamowicz, M.3    Shapiro, S.4    Boivin, J.5
  • 19
    • 80053563163 scopus 로고    scopus 로고
    • Subgroup identification from randomized clinical trial data
    • Foster JC, Taylor JMG, Ruberg SJ. Subgroup identification from randomized clinical trial data. Statistics in Medicine 2011; 30:2867-2880.
    • (2011) Statistics in Medicine , vol.30 , pp. 2867-2880
    • Foster, J.C.1    Taylor, J.M.G.2    Ruberg, S.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.