메뉴 건너뛰기




Volumn 8, Issue 4, 2014, Pages 403-425

A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment–subgroup interactions

Author keywords

Recursive partitioning; Subgroup analysis; Treatment heterogeneity; Treatment subgroup interaction

Indexed keywords

CLUSTER ANALYSIS;

EID: 84920260494     PISSN: 18625347     EISSN: 18625355     Source Type: Journal    
DOI: 10.1007/s11634-013-0159-x     Document Type: Article
Times cited : (48)

References (25)
  • 1
    • 84872767239 scopus 로고    scopus 로고
    • Bala MM, Akl EA, Sun X, Bassler D, Mertz D, Mejza F, Vandvik PO, Malaga G, Johnston BC, Dahm P, Alonso-Coello P, Diaz-Granados N, Srinathan SK, Hassouneh B, Briel M, Busse JW, You JJ, Walter SD, Altman DG, Guyatt GH (2013) Randomized trials published in higher vs. lower impact journals differ indesign, conduct, and analysis. J Clin Epidemiol 66(3):286–295. doi
    • Bala MM, Akl EA, Sun X, Bassler D, Mertz D, Mejza F, Vandvik PO, Malaga G, Johnston BC, Dahm P, Alonso-Coello P, Diaz-Granados N, Srinathan SK, Hassouneh B, Briel M, Busse JW, You JJ, Walter SD, Altman DG, Guyatt GH (2013) Randomized trials published in higher vs. lower impact journals differ indesign, conduct, and analysis. J Clin Epidemiol 66(3):286–295. doi:10.1016/j.jclinepi.2012.10.005. http://www.sciencedirect.com/science/article/pii/S0895435612003174
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L (2001) Random forests. Mach Learn 45:5–32
    • (2001) Mach Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 5
    • 85019205052 scopus 로고    scopus 로고
    • Simultaneous threshold interaction detection in binary classification. In: Palumbo F, Lauro CN, Greenacre MJ (eds) Data analysis and classification, studies in classification, data analysis, and knowledge organization. Springer, Berlin, pp 225–232
    • Conversano C, Dusseldorp E (2010) Simultaneous threshold interaction detection in binary classification. In: Palumbo F, Lauro CN, Greenacre MJ (eds) Data analysis and classification, studies in classification, data analysis, and knowledge organization. Springer, Berlin, pp 225–232. doi:10.1007/978-3-642-03739-9_26
    • (2010) doi:10.1007/978-3-642-03739-9_26
    • Conversano, C.1    Dusseldorp, E.2
  • 6
    • 10044255625 scopus 로고    scopus 로고
    • Program evaluation as a decision problem
    • Dehejia RH (2005) Program evaluation as a decision problem. J Econ 125(1–2):141–173
    • (2005) J Econ , vol.125 , Issue.1-2 , pp. 141-173
    • Dehejia, R.H.1
  • 7
    • 0026014245 scopus 로고
    • Bayesian subset analysis
    • Dixon D, Simon R (1991) Bayesian subset analysis. Biometrics 47(3):871–81
    • (1991) Biometrics , vol.47 , Issue.3 , pp. 871-881
    • Dixon, D.1    Simon, R.2
  • 8
    • 84920260162 scopus 로고    scopus 로고
    • Dusseldorp E, Conversano C (2013) stima: simultaneous threshold interaction modeling algorithm. , r package version 1.1
    • Dusseldorp E, Conversano C (2013) stima: simultaneous threshold interaction modeling algorithm. http://CRAN.R-project.org/package=stima, r package version 1.1
  • 9
    • 0035212929 scopus 로고    scopus 로고
    • Prediction in medicine by integrating regression trees into regression analysis with optimal scaling
    • Dusseldorp E, Meulman JJ (2001) Prediction in medicine by integrating regression trees into regression analysis with optimal scaling. Methods Inf Med 40:403–409
    • (2001) Methods Inf Med , vol.40 , pp. 403-409
    • Dusseldorp, E.1    Meulman, J.J.2
  • 10
    • 12344290273 scopus 로고    scopus 로고
    • The regression trunk approach to discover treatment covariate interaction
    • Dusseldorp E, Meulman JJ (2004) The regression trunk approach to discover treatment covariate interaction. Psychometrika 69(3):355–374
    • (2004) Psychometrika , vol.69 , Issue.3 , pp. 355-374
    • Dusseldorp, E.1    Meulman, J.J.2
  • 11
    • 77956661141 scopus 로고    scopus 로고
    • Combining an additive and tree-based regression model simultaneously: stima
    • Dusseldorp E, Conversano C, Van Os BJ (2010) Combining an additive and tree-based regression model simultaneously: stima. J Comput Graph Stat 19(3):514–530. doi:10.1198/jcgs.2010.06089
    • (2010) J Comput Graph Stat , vol.19 , Issue.3 , pp. 514-530
    • Dusseldorp, E.1    Conversano, C.2    Van Os, B.J.3
  • 12
    • 80053563163 scopus 로고    scopus 로고
    • Subgroup identification from randomized clinical trial data
    • Foster J, Taylor J, Ruberg S (2011) Subgroup identification from randomized clinical trial data. Stat Med 30(24):2867–2880
    • (2011) Stat Med , vol.30 , Issue.24 , pp. 2867-2880
    • Foster, J.1    Taylor, J.2    Ruberg, S.3
  • 13
    • 33746523438 scopus 로고    scopus 로고
    • Multivariable risk prediction can greatly enhance the statistical power of clinical trial subgroup analysis
    • Hayward RA, Kent DM, Vijan S, Hofer TP (2006) Multivariable risk prediction can greatly enhance the statistical power of clinical trial subgroup analysis. BMC Med Res Methodol 6(18):18. doi:10.1186/1471-2288-6-18
    • (2006) BMC Med Res Methodol , vol.6 , Issue.18 , pp. 18
    • Hayward, R.A.1    Kent, D.M.2    Vijan, S.3    Hofer, T.P.4
  • 14
    • 0036792805 scopus 로고    scopus 로고
    • Mediators and moderators of treatment effects in randomized clinical trials
    • Kraemer H, Wilson G, Fairburn CG, Agras W (2002) Mediators and moderators of treatment effects in randomized clinical trials. Arch Gen Psychiatry 59(10):877–883. doi:10.1001/archpsyc.59.10.877
    • (2002) Arch Gen Psychiatry , vol.59 , Issue.10 , pp. 877-883
    • Kraemer, H.1    Wilson, G.2    Fairburn, C.G.3    Agras, W.4
  • 15
    • 84940925951 scopus 로고
    • Survival trees by goodness of split
    • LeBlanc M, Crowley J (1993) Survival trees by goodness of split. J Am Stat Assoc 88:457–467
    • (1993) J Am Stat Assoc , vol.88 , pp. 457-467
    • LeBlanc, M.1    Crowley, J.2
  • 16
    • 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 (2011) Subgroup identification based on differential effect search-a recursive partitioning method for establishing response to treatment in patient subpopulations. Stat Med 30(21):2601–2621
    • (2011) Stat Med , vol.30 , Issue.21 , pp. 2601-2621
    • Lipkovich, I.1    Dmitrienko, A.2    Denne, J.3    Enas, G.4
  • 18
    • 0026580873 scopus 로고
    • A quantitative measure of substance abuse treatments: the treatment services review
    • McLellan AT, Al Alterman (1992) A quantitative measure of substance abuse treatments: the treatment services review. J Nerv Mental Dis 180:101–110
    • (1992) J Nerv Mental Dis , vol.180 , pp. 101-110
    • McLellan, A.T.1    Al, A.2
  • 19
    • 84907684136 scopus 로고    scopus 로고
    • R: a language and environment for statistical computing
    • Vienna, Austria:
    • R Development Core Team (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
    • (2013) R Foundation for Statistical Computing
    • Development Core Team, R.1
  • 20
    • 58149417330 scopus 로고
    • Estimating causal effects of treatment in randomized and nonrandomized studies
    • Rubin DB (1974) Estimating causal effects of treatment in randomized and nonrandomized studies. J Educ Psychol 66:688–701
    • (1974) J Educ Psychol , vol.66 , pp. 688-701
    • Rubin, D.B.1
  • 21
    • 0006462573 scopus 로고
    • Probability of directional errors with disordinal (qualitative) interaction
    • Shaffer J (1991) Probability of directional errors with disordinal (qualitative) interaction. Psychometrika 56(1):29–38
    • (1991) Psychometrika , vol.56 , Issue.1 , pp. 29-38
    • Shaffer, J.1
  • 22
    • 38849159045 scopus 로고    scopus 로고
    • Interaction trees with censored survival data
    • Su X, Zhou T, Yan X, Fan J, Yang S (2008) Interaction trees with censored survival data. Int J Biostat 4(1):2
    • (2008) Int J Biostat , vol.4 , Issue.1 , pp. 2
    • Su, X.1    Zhou, T.2    Yan, X.3    Fan, J.4    Yang, S.5
  • 24
    • 77955752863 scopus 로고    scopus 로고
    • Comparative effectiveness research: policy context, methods development and research infrastructure
    • Tunis SR, Benner J, McClellan M (2010) Comparative effectiveness research: policy context, methods development and research infrastructure. Stat Med 29(19):1963–1976
    • (2010) Stat Med , vol.29 , Issue.19 , pp. 1963-1976
    • Tunis, S.R.1    Benner, J.2    McClellan, M.3
  • 25
    • 44649159456 scopus 로고    scopus 로고
    • Model-based recursive partitioning
    • Zeileis A, Hothorn T, Hornik K (2008) Model-based recursive partitioning. J Comput Graph Stat 17(2):492–514. doi:10.1198/106186008X319331
    • (2008) J Comput Graph Stat , vol.17 , Issue.2 , pp. 492-514
    • Zeileis, A.1    Hothorn, T.2    Hornik, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.