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Volumn 69, Issue 3, 2013, Pages 724-731

Treatment Benefit and Treatment Harm Rate to Characterize Heterogeneity in Treatment Effect

Author keywords

Causal inference; Heterogeneity in treatment effect; Potential outcomes; Sub group analysis

Indexed keywords

DEFIBRILLATORS; IMPLANTABLE CARDIOVERTER DEFIBRILLATORS; PATIENT TREATMENT;

EID: 84901240608     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12038     Document Type: Article
Times cited : (12)

References (20)
  • 1
    • 27844511009 scopus 로고    scopus 로고
    • Assessing treatment effect heterogeneity in clinical trials with blocked binary outcomes
    • Albert, J. M., Gadbury, G. L., and Mascha, E. J. (2005). Assessing treatment effect heterogeneity in clinical trials with blocked binary outcomes. Biometrical Journal 47, 662-673.
    • (2005) Biometrical Journal , vol.47 , pp. 662-673
    • Albert, J.M.1    Gadbury, G.L.2    Mascha, E.J.3
  • 2
    • 0001646484 scopus 로고
    • Cox's regression model for counting processes: A large sample study
    • Andersen, P. K. and Gill, R. D. (1982). Cox's regression model for counting processes: A large sample study. The Annals of Statistics 10, 1100-1120.
    • (1982) The Annals of Statistics , vol.10 , pp. 1100-1120
    • Andersen, P.K.1    Gill, R.D.2
  • 4
    • 72549104482 scopus 로고    scopus 로고
    • Heterogeneity is not always noise: Lessons from improvement
    • Davidoff, F. (2009). Heterogeneity is not always noise: Lessons from improvement. The Journal of the American Medical Association 302, 2580-2586.
    • (2009) The Journal of the American Medical Association , vol.302 , pp. 2580-2586
    • Davidoff, F.1
  • 5
    • 80053563163 scopus 로고    scopus 로고
    • Subgroup identification from randomized clinical trial data
    • Foster, J. C., Taylor, J. M. G., and Ruberg, S. J. (2011). Subgroup identification from randomized clinical trial data. Statistics in Medicine 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
  • 6
    • 0033851754 scopus 로고    scopus 로고
    • Unit-treatment interaction and its practical consequences
    • Gadbury, G. L. and Iyer, H. K. (2000). Unit-treatment interaction and its practical consequences. Biometrics 56, 882-885.
    • (2000) Biometrics , vol.56 , pp. 882-885
    • Gadbury, G.L.1    Iyer, H.K.2
  • 11
    • 79961226937 scopus 로고    scopus 로고
    • Multivariate and propensity score matching software with automated balance optimization
    • Jasjeet, S. S. (2011). Multivariate and propensity score matching software with automated balance optimization. Journal of Statistical Software 42, 1-52.
    • (2011) Journal of Statistical Software , vol.42 , pp. 1-52
    • Jasjeet, S.S.1
  • 12
    • 34548575455 scopus 로고    scopus 로고
    • Limitations of applying summary results of clinical trials to individual patients: the need for risk stratification
    • Kent, D. M. and Hayward, R. A. (2007). Limitations of applying summary results of clinical trials to individual patients: the need for risk stratification. The Journal of the American Medical Association 298, 1209-1212.
    • (2007) The Journal of the American Medical Association , vol.298 , pp. 1209-1212
    • Kent, D.M.1    Hayward, R.A.2
  • 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., and Enas, G. (2011). Subgroup identification based on differential effect search-a recursive partitioning method for establishing response to treatment in patient subpopulations. Statistics in Medicine 30, 2601-2621.
    • (2011) Statistics in Medicine , vol.30 , pp. 2601-2621
    • Lipkovich, I.1    Dmitrienko, A.2    Denne, J.3    Enas, G.4
  • 14
    • 0001613633 scopus 로고
    • The product-limit estimator and the bootstrap: Some asymptotic representations
    • Lo, S. and Singh, K. (1985). The product-limit estimator and the bootstrap: Some asymptotic representations. Probability Theory and Related Fields 71, 455-465.
    • (1985) Probability Theory and Related Fields , vol.71 , pp. 455-465
    • Lo, S.1    Singh, K.2
  • 16
    • 0017133178 scopus 로고
    • Inference and missing data
    • Rubin, D. B. (1976). Inference and missing data. Biometrika 63, 581-592.
    • (1976) Biometrika , vol.63 , pp. 581-592
    • Rubin, D.B.1
  • 17
    • 33846253571 scopus 로고    scopus 로고
    • The design versus the analysis of observational studies for causal effects: Parallels with the design of randomized trials
    • Rubin, D. B. (2007). The design versus the analysis of observational studies for causal effects: Parallels with the design of randomized trials. Statistics in Medicine 26, 20-36.
    • (2007) Statistics in Medicine , vol.26 , pp. 20-36
    • Rubin, D.B.1
  • 18
    • 51749098549 scopus 로고    scopus 로고
    • A critical appraisal of implantable cardioverter-defibrillator therapy for the prevention of sudden cardiac death
    • Tung, R., Zimetbaum, P., and Josephson, M. E. (2008). A critical appraisal of implantable cardioverter-defibrillator therapy for the prevention of sudden cardiac death. Journal of the American College of Cardiology 52, 1111-1121.
    • (2008) Journal of the American College of Cardiology , vol.52 , pp. 1111-1121
    • Tung, R.1    Zimetbaum, P.2    Josephson, M.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.