메뉴 건너뛰기




Volumn 38, Issue 4, 2011, Pages 3451-3460

A multivariate strategy to measure and test global imbalance in observational studies

Author keywords

Balance testing; Categorical covariates; Imbalance coefficient; Local causal effects; Observational data

Indexed keywords

BALANCE TESTING; COVARIATES; IMBALANCE COEFFICIENT; LOCAL CAUSAL EFFECTS; OBSERVATIONAL DATA;

EID: 78650709481     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.08.132     Document Type: Article
Times cited : (6)

References (39)
  • 3
    • 0000504309 scopus 로고
    • Sur le Calcul des taux d'inertie dans l'analyse d'un questionaire, Addendum et erratum á[BIN.MULT.]
    • J.P. Benzécri Sur le Calcul des taux d'inertie dans l'analyse d'un questionaire, Addendum et erratum á[BIN.MULT.] Cahiers de l'Analyse des Données 4 1979 377 378
    • (1979) Cahiers de l'Analyse des Données , vol.4 , pp. 377-378
    • Benzécri, J.P.1
  • 5
    • 70349440988 scopus 로고    scopus 로고
    • A new data mining approach to estimate causal effects of policy interventions
    • F. Camillo, and I. D'Attoma A new data mining approach to estimate causal effects of policy interventions Expert Systems with Applications 37 1 2010 171 181
    • (2010) Expert Systems with Applications , vol.37 , Issue.1 , pp. 171-181
    • Camillo, F.1    D'Attoma, I.2
  • 6
    • 0000057576 scopus 로고
    • Controlling bias in observational studies: A review
    • W.G. Cochran, and D.B. Rubin Controlling bias in observational studies: A review Sankya, Series A 35 1973 417 446
    • (1973) Sankya, Series A , vol.35 , pp. 417-446
    • Cochran, W.G.1    Rubin, D.B.2
  • 9
    • 78650710702 scopus 로고
    • Analyse factorielle des dépendances partielles
    • J.J. Daudin Analyse factorielle des dépendances partielles Revue de Statistique Appliquée 29 2 1981 15 29
    • (1981) Revue de Statistique Appliquée , vol.29 , Issue.2 , pp. 15-29
    • Daudin, J.J.1
  • 10
    • 0036102924 scopus 로고    scopus 로고
    • Propensity score matching methods for non-experimental causal studies
    • R.H. Dehejia, and S. Wahba Propensity score matching methods for non-experimental causal studies Review of Economics and Statistics 84 1 2002 151 161
    • (2002) Review of Economics and Statistics , vol.84 , Issue.1 , pp. 151-161
    • Dehejia, R.H.1    Wahba, S.2
  • 12
    • 0002815858 scopus 로고
    • Analyse factorielle en reference a un modéle, application a l'analyse de tableaux d'echanges
    • B. Escofier Analyse factorielle en reference a un modéle, application a l'analyse de tableaux d'echanges Revue de Statistique Apliquée 32 4 1984
    • (1984) Revue de Statistique Apliquée , vol.32 , Issue.4
    • Escofier, B.1
  • 13
    • 70349458787 scopus 로고
    • Analyse des correspondances multiples conditionelle
    • Diday North Holland
    • B. Escofier Analyse des correspondances multiples conditionelle Diday Data analysis and informatics 1988 North Holland 333 342
    • (1988) Data Analysis and Informatics , pp. 333-342
    • Escofier, B.1
  • 18
    • 50849129626 scopus 로고    scopus 로고
    • Covariate balance in simple, stratified and clustered comparative studies
    • B.B. Hansen, and J. Bowers Covariate balance in simple, stratified and clustered comparative studies Statistical Science 23 2 2008 219 236
    • (2008) Statistical Science , vol.23 , Issue.2 , pp. 219-236
    • Hansen, B.B.1    Bowers, J.2
  • 19
    • 0042238956 scopus 로고
    • Performance data: Three comparison methods
    • G.T. Henry, and J.H. McMillan Performance data: Three comparison methods Evaluation Review 17 1993 643 652
    • (1993) Evaluation Review , vol.17 , pp. 643-652
    • Henry, G.T.1    McMillan, J.H.2
  • 20
    • 34249885738 scopus 로고    scopus 로고
    • Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference
    • D.E. Ho, K. Imai, G. King, and E.A. Stuart Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference Political Analysis 15 2007 199 236
    • (2007) Political Analysis , vol.15 , pp. 199-236
    • Ho, D.E.1    Imai, K.2    King, G.3    Stuart, E.A.4
  • 23
    • 46749098330 scopus 로고    scopus 로고
    • Invariant and metric free proximities for data matching: An R package
    • S.M. Iacus, and G. Porro Invariant and metric free proximities for data matching: An R package Journal of Statistical Software 25 11 2008
    • (2008) Journal of Statistical Software , vol.25 , Issue.11
    • Iacus, S.M.1    Porro, G.2
  • 27
    • 59949083401 scopus 로고    scopus 로고
    • Propensity score adjustment as a weighting scheme for volunteer panel web surveys
    • S. Lee Propensity score adjustment as a weighting scheme for volunteer panel web surveys Journal of Official Statistics 22 2 2006 329 349
    • (2006) Journal of Official Statistics , vol.22 , Issue.2 , pp. 329-349
    • Lee, S.1
  • 28
    • 28444464482 scopus 로고    scopus 로고
    • Propensity scores: An introduction and experimental test
    • J.K. Luellen, W.R. Shadish, and M.H. Clark Propensity scores: An introduction and experimental test Evaluation Review 29 2005 530
    • (2005) Evaluation Review , vol.29 , pp. 530
    • Luellen, J.K.1    Shadish, W.R.2    Clark, M.H.3
  • 29
    • 15744371116 scopus 로고    scopus 로고
    • Using cluster analysis in program evaluation
    • Laura R. Peck Using cluster analysis in program evaluation Evaluation Review 29 2005 178
    • (2005) Evaluation Review , vol.29 , pp. 178
    • Peck, L.R.1
  • 31
    • 77951622706 scopus 로고
    • The central role of propensity score in observational studies for causal effects
    • P.R. Rosenbaum, and D.B. Rubin The central role of propensity score in observational studies for causal effects Biometrika 70 1 1983 41 55
    • (1983) Biometrika , vol.70 , Issue.1 , pp. 41-55
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 32
    • 84949193513 scopus 로고
    • Reducing bias in observational studies using subclassification on the propensity score
    • Rosenbaum, P. R.; Rubin, D. B. (1984). Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association, 79, 516-524.
    • (1984) Journal of the American Statistical Association , vol.79 , pp. 516-524
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 33
    • 0000394113 scopus 로고
    • Matching to remove bias in observational studies
    • D.B. Rubin Matching to remove bias in observational studies Biometrics 29 1973 159 183
    • (1973) Biometrics , vol.29 , pp. 159-183
    • Rubin, D.B.1
  • 34
    • 0000810054 scopus 로고
    • Comment on "randomization analysis of experimental data: The fisher randomization test" by D. Basu
    • D.B. Rubin Comment on "Randomization analysis of experimental data: The fisher randomization test" by D. Basu Journal of the American Statistical Association 75 1980 318 328
    • (1980) Journal of the American Statistical Association , vol.75 , pp. 318-328
    • Rubin, D.B.1
  • 35
    • 0035761763 scopus 로고    scopus 로고
    • Using propensity scores to help design observational studies: Application to the tobacco litigation
    • D.B. Rubin Using propensity scores to help design observational studies: Application to the tobacco litigation Health Services and Outcome Research Methodology 2 2001 169 188
    • (2001) Health Services and Outcome Research Methodology , vol.2 , pp. 169-188
    • Rubin, D.B.1
  • 39
    • 72749127236 scopus 로고    scopus 로고
    • Can nonrandomized experiments yield accurate answers? A randomized experiment comparing random and nonrandom assignments
    • W.R. Shadish, M.H. Clark, and P.M. Steiner Can nonrandomized experiments yield accurate answers? A randomized experiment comparing random and nonrandom assignments Journal of the American Statistical Association 103 484 2008 Application and Case Studies
    • (2008) Journal of the American Statistical Association , vol.103 , Issue.484
    • Shadish, W.R.1    Clark, M.H.2    Steiner, P.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.