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Volumn 29, Issue 30, 2010, Pages 3126-3136

Confounder-adjusted estimates of the risk difference using propensity score-based weighting

Author keywords

Binomial regression; Generalized linear model; Propensity score based weighting; Risk difference

Indexed keywords

ARTICLE; MATHEMATICAL ANALYSIS; METHODOLOGY; PROBABILITY; RISK ASSESSMENT; SAMPLE SIZE; SCORING SYSTEM; SIMULATION; SYSTEMATIC ERROR;

EID: 78650229800     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3935     Document Type: Article
Times cited : (19)

References (23)
  • 1
    • 0028908929 scopus 로고
    • The number needed to treat: a clinically useful measure of treatment effect
    • Cook RJ, Sackett DL. The number needed to treat: a clinically useful measure of treatment effect. BMJ 1995; 310:452-454.
    • (1995) BMJ , vol.310 , pp. 452-454
    • Cook, R.J.1    Sackett, D.L.2
  • 2
    • 0003663926 scopus 로고
    • Generalized Linear Models
    • 2nd edn). Chapman & Hall/CRC: London,
    • McCullagh P, Nelder JA. Generalized Linear Models (2nd edn). Chapman & Hall/CRC: London, 1989.
    • (1989)
    • McCullagh, P.1    Nelder, J.A.2
  • 3
    • 0022629577 scopus 로고
    • Binomial regression in GLM: estimating risk ratios and risk differences
    • Wacholder S. Binomial regression in GLM: estimating risk ratios and risk differences. American Journal of Epidemiology 1986; 123:174-184.
    • (1986) American Journal of Epidemiology , vol.123 , pp. 174-184
    • Wacholder, S.1
  • 4
    • 33645226210 scopus 로고    scopus 로고
    • A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods
    • DOI: 10.1016/j.jclinepi.2005.07.004.
    • Stürmer T, Joshi M, Glynn RJ, Avorn J, Rothman KJ, Schneeweiss S. A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods. Journal of Clinical Epidemiology 2006; 59:437-447. DOI: 10.1016/j.jclinepi.2005.07.004.
    • (2006) Journal of Clinical Epidemiology , vol.59 , pp. 437-447
    • Stürmer, T.1    Joshi, M.2    Glynn, R.J.3    Avorn, J.4    Rothman, K.J.5    Schneeweiss, S.6
  • 5
    • 77951622706 scopus 로고
    • The central role of the propensity score in observational studies for causal effects
    • Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika 1983; 70:41-55.
    • (1983) Biometrika , vol.70 , pp. 41-55
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 6
    • 0041626110 scopus 로고    scopus 로고
    • Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders
    • DOI: 10.1093/aje/kwg115.
    • Soledad Cepeda M, Boston R, Farrar JT, Strom BL. Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders. American Journal of Epidemiology 2003; 158:280-287. DOI: 10.1093/aje/kwg115.
    • (2003) American Journal of Epidemiology , vol.158 , pp. 280-287
    • Soledad Cepeda, M.1    Boston, R.2    Farrar, J.T.3    Strom, B.L.4
  • 7
    • 33847382959 scopus 로고    scopus 로고
    • Relaxing the rule of ten events per variable in logistic and Cox regression
    • DOI: 10.1093/aje/kwk052.
    • Vittinghoff E, McCulloch CE. Relaxing the rule of ten events per variable in logistic and Cox regression. American Journal of Epidemiology 2006; 165:710-718. DOI: 10.1093/aje/kwk052.
    • (2006) American Journal of Epidemiology , vol.165 , pp. 710-718
    • Vittinghoff, E.1    McCulloch, C.E.2
  • 8
    • 31344433620 scopus 로고    scopus 로고
    • Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of non-uniform effect
    • DOI: 10.1093/aje/kwj047.
    • Kurth T, Walker AM, Glynn RJ, Chan KA, Gaziano JM, Berger K, Robins JM. Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of non-uniform effect. American Journal of Epidemiology 2006; 163:262-270. DOI: 10.1093/aje/kwj047.
    • (2006) American Journal of Epidemiology , vol.163 , pp. 262-270
    • Kurth, T.1    Walker, A.M.2    Glynn, R.J.3    Chan, K.A.4    Gaziano, J.M.5    Berger, K.6    Robins, J.M.7
  • 9
    • 33745842238 scopus 로고    scopus 로고
    • Estimating causal effects from epidemiological data
    • DOI: 10.1136/jech.2004.029496.
    • Hernán MA, Robins JM. Estimating causal effects from epidemiological data. Journal of Epidemiology and Community Health 2006; 60:578-586. DOI: 10.1136/jech.2004.029496.
    • (2006) Journal of Epidemiology and Community Health , vol.60 , pp. 578-586
    • Hernán, M.A.1    Robins, J.M.2
  • 10
    • 51749124303 scopus 로고    scopus 로고
    • Constructing inverse probability weights for marginal structural models
    • DOI: 10.1093/aje/kwn164.
    • Cole SR, Hernán MA. Constructing inverse probability weights for marginal structural models. American Journal of Epidemiology 2008; 168:656-664. DOI: 10.1093/aje/kwn164.
    • (2008) American Journal of Epidemiology , vol.168 , pp. 656-664
    • Cole, S.R.1    Hernán, M.A.2
  • 11
    • 4444230264 scopus 로고    scopus 로고
    • Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
    • DOI: 10.1002/sim.1903.
    • Lunceford JK, Davidian M. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Statistics in Medicine 2004; 23:2937-2960. DOI: 10.1002/sim.1903.
    • (2004) Statistics in Medicine , vol.23 , pp. 2937-2960
    • Lunceford, J.K.1    Davidian, M.2
  • 12
    • 0033847784 scopus 로고    scopus 로고
    • Marginal structural models and causal inference in epidemiology
    • Robins JM, Hernán MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology 2000; 11:550-560.
    • (2000) Epidemiology , vol.11 , pp. 550-560
    • Robins, J.M.1    Hernán, M.A.2    Brumback, B.3
  • 13
    • 0002864224 scopus 로고    scopus 로고
    • Confounding and collapsibility in causal inference
    • DOI: 10.1214/ss/1009211805.
    • Greenland S, Robins JM, Pearl J. Confounding and collapsibility in causal inference. Statistical Science 1999; 14:29-46. DOI: 10.1214/ss/1009211805.
    • (1999) Statistical Science , vol.14 , pp. 29-46
    • Greenland, S.1    Robins, J.M.2    Pearl, J.3
  • 14
    • 59449111017 scopus 로고    scopus 로고
    • Inverse probability weighted estimation of the marginal odds ratio: correspondence regarding 'The performance of different propensity score methods for estimating marginal odds ratios' [letter]
    • DOI: 10.1002/sim.3362.
    • Forbes A, Shortreed S. Inverse probability weighted estimation of the marginal odds ratio: correspondence regarding 'The performance of different propensity score methods for estimating marginal odds ratios' [letter]. Statistics in Medicine 2008; 27:5556-5559. DOI: 10.1002/sim.3362.
    • (2008) Statistics in Medicine , vol.27 , pp. 5556-5559
    • Forbes, A.1    Shortreed, S.2
  • 15
    • 47749131861 scopus 로고    scopus 로고
    • The performance of two data-generation processes for data with specified marginal treatment odds ratios
    • DOI: 10.1080/03610910801942430.
    • Austin PC, Stafford J. The performance of two data-generation processes for data with specified marginal treatment odds ratios. Communications in Statistics: Simulation and Computation 2008; 37:1039-1051. DOI: 10.1080/03610910801942430.
    • (2008) Communications in Statistics: Simulation and Computation , vol.37 , pp. 1039-1051
    • Austin, P.C.1    Stafford, J.2
  • 16
    • 31644450063 scopus 로고    scopus 로고
    • Stata Statistical Software: Release 10.0
    • StataCorp. Stata Corporation: College Station, TX
    • StataCorp. Stata Statistical Software: Release 10.0. Stata Corporation: College Station, TX, 2007.
    • (2007)
  • 17
    • 0003443397 scopus 로고
    • Density Estimation in Statistics and Data Analysis
    • Chapman and Hall/CRC Press: London,
    • Silverman B. Density Estimation in Statistics and Data Analysis. Chapman and Hall/CRC Press: London, 1986.
    • (1986)
    • Silverman, B.1
  • 18
    • 0036085022 scopus 로고    scopus 로고
    • Bilateral internal mammary artery grafting Are BIMA better?
    • DOI: 10.1136/heart.88.1.7.
    • Taggart DP. Bilateral internal mammary artery grafting Are BIMA better? Heart 2002; 88:7-9. DOI: 10.1136/heart.88.1.7.
    • (2002) Heart , vol.88 , pp. 7-9
    • Taggart, D.P.1
  • 19
    • 44649182793 scopus 로고    scopus 로고
    • Discussion of research using propensity-score matching: comments on 'A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003' by Peter Austin, Statistics in Medicine [commentary]
    • DOI: 10.1002/sim.3245.
    • Hill J. Discussion of research using propensity-score matching: comments on 'A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003' by Peter Austin, Statistics in Medicine [commentary]. Statistics in Medicine 2008; 27:2055-2061. DOI: 10.1002/sim.3245.
    • (2008) Statistics in Medicine , vol.27 , pp. 2055-2061
    • Hill, J.1
  • 20
    • 34547659742 scopus 로고    scopus 로고
    • Relative risks and confidence intervals were easily computed indirectly from multivariable logistic regression
    • DOI: 10.1016/j.jclinepi.2006.12.001.
    • Localio AR, Margolis DJ, Berlin JA. Relative risks and confidence intervals were easily computed indirectly from multivariable logistic regression. Journal of Clinical Epidemiology 2007; 60:874-882. DOI: 10.1016/j.jclinepi.2006.12.001.
    • (2007) Journal of Clinical Epidemiology , vol.60 , pp. 874-882
    • Localio, A.R.1    Margolis, D.J.2    Berlin, J.A.3
  • 21
    • 36248939161 scopus 로고    scopus 로고
    • A modified least-squares regression approach to the estimation of risk difference
    • DOI: 10.1093/aje/kwm223.
    • Cheung YB. A modified least-squares regression approach to the estimation of risk difference. American Journal of Epidemiology 2007; 166:1337-1344. DOI: 10.1093/aje/kwm223.
    • (2007) American Journal of Epidemiology , vol.166 , pp. 1337-1344
    • Cheung, Y.B.1
  • 22
    • 1642420994 scopus 로고    scopus 로고
    • A modified Poisson regression approach to prospective studies with binary data
    • DOI: 10.1093/aje/kwh090.
    • Zou G. A modified Poisson regression approach to prospective studies with binary data. American Journal of Epidemiology 2004; 159:702-706. DOI: 10.1093/aje/kwh090.
    • (2004) American Journal of Epidemiology , vol.159 , pp. 702-706
    • Zou, G.1
  • 23
    • 0037541565 scopus 로고    scopus 로고
    • Estimating the relative risk in cohort studies and clinical trials of common outcomes
    • DOI: 10.1093/aje/kwg074.
    • McNutt L-A, Wu C, Xue X, Hafner JP. Estimating the relative risk in cohort studies and clinical trials of common outcomes. American Journal of Epidemiology 2003; 157:940-943. DOI: 10.1093/aje/kwg074.
    • (2003) American Journal of Epidemiology , vol.157 , pp. 940-943
    • McNutt, L.-A.1    Wu, C.2    Xue, X.3    Hafner, J.P.4


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