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Volumn 33, Issue 20, 2014, Pages 3556-3575

Propensity score methods for estimating relative risks in cluster randomized trials with low-incidence binary outcomes and selection bias

Author keywords

Binary outcomes; Cluster randomized trial; Monte Carlo simulations; Propensity score; Selection bias

Indexed keywords

ARTICLE; CLUSTER ANALYSIS; COVARIANCE; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MONTE CARLO METHOD; POISSON DISTRIBUTION; PROCESS MODEL; PROPENSITY SCORE; RANDOMIZATION; RANDOMIZED CONTROLLED TRIAL (TOPIC); RISK ASSESSMENT; SELECTION BIAS; ADULT; AGED; COMPUTER SIMULATION; FEMALE; INCIDENCE; KINESIOTHERAPY; MALE; MIDDLE AGED; OSTEOARTHRITIS, HIP; OSTEOARTHRITIS, KNEE; PAIN; PROCEDURES; REGRESSION ANALYSIS; RISK;

EID: 84905448145     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6185     Document Type: Article
Times cited : (31)

References (63)
  • 3
    • 78649661354 scopus 로고    scopus 로고
    • Cluster size variability and imbalance in cluster randomized controlled trials
    • Carter B. Cluster size variability and imbalance in cluster randomized controlled trials. Statistics in Medicine 2010; 29(29): 2984-93.
    • (2010) Statistics in Medicine , vol.29 , Issue.29 , pp. 2984-2993
    • Carter, B.1
  • 4
    • 0141639672 scopus 로고    scopus 로고
    • Evidence for risk of bias in cluster randomised trials: review of recent trials published in three general medical journals
    • Puffer S, Torgerson D, Watson J. Evidence for risk of bias in cluster randomised trials: review of recent trials published in three general medical journals. British Medical Journal 2003; 327(7418): 785-789.
    • (2003) British Medical Journal , vol.327 , Issue.7418 , pp. 785-789
    • Puffer, S.1    Torgerson, D.2    Watson, J.3
  • 6
    • 42549106032 scopus 로고    scopus 로고
    • Internal and external validity of cluster randomised trials: systematic review of recent trials
    • Eldridge S, Ashby D, Bennett C, Wakelin M, Feder G. Internal and external validity of cluster randomised trials: systematic review of recent trials. British Medical Journal 2008; 336(7649): 876-880.
    • (2008) British Medical Journal , vol.336 , Issue.7649 , pp. 876-880
    • Eldridge, S.1    Ashby, D.2    Bennett, C.3    Wakelin, M.4    Feder, G.5
  • 7
    • 66349109001 scopus 로고    scopus 로고
    • Preventing bias in cluster randomised trials
    • Giraudeau B, Ravaud P. Preventing bias in cluster randomised trials. PLoS Medicine 2009; 6(5): e1000065.
    • (2009) PLoS Medicine , vol.6 , Issue.5
    • Giraudeau, B.1    Ravaud, P.2
  • 10
    • 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(1): 41-55.
    • (1983) Biometrika , vol.70 , Issue.1 , pp. 41-55
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 11
    • 0035761763 scopus 로고    scopus 로고
    • Using propensity scores to help design observational studies: application to the tobacco litigation
    • Rubin DB. Using propensity scores to help design observational studies: application to the tobacco litigation. Health Services and Outcomes Research Methodology 2001; 2(3-4): 169-188.
    • (2001) Health Services and Outcomes Research Methodology , vol.2 , Issue.3-4 , pp. 169-188
    • Rubin, D.B.1
  • 12
    • 57749105474 scopus 로고    scopus 로고
    • Average causal effects from nonrandomized studies: a practical guide and simulated example
    • Schafer JL, Kang J. Average causal effects from nonrandomized studies: a practical guide and simulated example. Psychological Methods 2008; 13(4): 279-313.
    • (2008) Psychological Methods , vol.13 , Issue.4 , pp. 279-313
    • Schafer, J.L.1    Kang, J.2
  • 13
    • 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
    • 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(5): 437-447.
    • (2006) Journal of Clinical Epidemiology , vol.59 , Issue.5 , pp. 437-447
    • Stürmer, T.1    Joshi, M.2    Glynn, R.J.3    Avorn, J.4    Rothman, K.J.5    Schneeweiss, S.6
  • 14
    • 0038753896 scopus 로고    scopus 로고
    • An integrated population-averaged approach to the design, analysis and sample size determination of cluster-unit trials
    • Preisser JS, Young ML, Zaccaro DJ, Wolfson M. An integrated population-averaged approach to the design, analysis and sample size determination of cluster-unit trials. Statistics in Medicine 2003; 22(8): 1235-1254.
    • (2003) Statistics in Medicine , vol.22 , Issue.8 , pp. 1235-1254
    • Preisser, J.S.1    Young, M.L.2    Zaccaro, D.J.3    Wolfson, M.4
  • 16
    • 84859007282 scopus 로고    scopus 로고
    • ARTIST (osteoarthritis intervention standardized) study of standardised consultation versus usual care for patients with osteoarthritis of the knee in primary care in france: pragmatic randomised controlled trial
    • Ravaud P, Flipo R, Boutron I, Roy C, Mahmoudi A, Giraudeau B, Pham T. ARTIST (osteoarthritis intervention standardized) study of standardised consultation versus usual care for patients with osteoarthritis of the knee in primary care in france: pragmatic randomised controlled trial. BMJ (Clinical Research Ed.) 2009; 338: b421.
    • (2009) BMJ (Clinical Research Ed.) , vol.338
    • Ravaud, P.1    Flipo, R.2    Boutron, I.3    Roy, C.4    Mahmoudi, A.5    Giraudeau, B.6    Pham, T.7
  • 17
    • 84880319391 scopus 로고    scopus 로고
    • Propensity scores used for analysis of cluster randomized trials with selection bias: a simulation study
    • Leyrat C, Caille A, Donner A, Giraudeau B. Propensity scores used for analysis of cluster randomized trials with selection bias: a simulation study. Statistics in Medicine 2013; 32(19): 3357-3372.
    • (2013) Statistics in Medicine , vol.32 , Issue.19 , pp. 3357-3372
    • Leyrat, C.1    Caille, A.2    Donner, A.3    Giraudeau, B.4
  • 19
    • 0041626110 scopus 로고    scopus 로고
    • Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders
    • Cepeda MS, 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(3): 280-287.
    • (2003) American Journal of Epidemiology , vol.158 , Issue.3 , pp. 280-287
    • Cepeda, M.S.1    Boston, R.2    Farrar, J.T.3    Strom, B.L.4
  • 20
    • 3543135271 scopus 로고    scopus 로고
    • Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group
    • D'Agostino RB. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Statistics in Medicine 1998; 17(19): 2265-2281.
    • (1998) Statistics in Medicine , vol.17 , Issue.19 , pp. 2265-2281
    • D'Agostino, R.B.1
  • 22
    • 33745466638 scopus 로고    scopus 로고
    • A comparison of propensity score methods: a case-study estimating the effectiveness of post-AMI statin use
    • Austin PC, Mamdani MM. A comparison of propensity score methods: a case-study estimating the effectiveness of post-AMI statin use. Statistics in Medicine 2006; 25(12): 2084-2106.
    • (2006) Statistics in Medicine , vol.25 , Issue.12 , pp. 2084-2106
    • Austin, P.C.1    Mamdani, M.M.2
  • 23
    • 79953304087 scopus 로고    scopus 로고
    • Weight trimming and propensity score weighting
    • Lee BK, Lessler J, Stuart EA. Weight trimming and propensity score weighting. PloS One 2011; 6(3): e18174.
    • (2011) PloS One , vol.6 , Issue.3
    • Lee, B.K.1    Lessler, J.2    Stuart, E.A.3
  • 24
    • 0035761721 scopus 로고    scopus 로고
    • Estimation of causal effects using propensity score weighting: an application to data on right heart catheterization
    • Hirano K, Imbens GW. Estimation of causal effects using propensity score weighting: an application to data on right heart catheterization. Health Services and Outcomes Research Methodology 2001; 2(3): 259-278.
    • (2001) Health Services and Outcomes Research Methodology , vol.2 , Issue.3 , pp. 259-278
    • Hirano, K.1    Imbens, G.W.2
  • 25
    • 77149125892 scopus 로고    scopus 로고
    • Use of stabilized inverse propensity scores as weights to directly estimate relative risk and its confidence intervals
    • Xu S, Ross C, Raebel MA, Shetterly S, Blanchette C, Smith D. Use of stabilized inverse propensity scores as weights to directly estimate relative risk and its confidence intervals. Value in Health 2010; 13(2): 273-277.
    • (2010) Value in Health , vol.13 , Issue.2 , pp. 273-277
    • Xu, S.1    Ross, C.2    Raebel, M.A.3    Shetterly, S.4    Blanchette, C.5    Smith, D.6
  • 26
    • 84949193513 scopus 로고
    • Reducing bias in observational studies using subclassification on the propensity score
    • Rosenbaum PR, Rubin DB. Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association 1984; 79(387): 516-524.
    • (1984) Journal of the American Statistical Association , vol.79 , Issue.387 , pp. 516-524
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 27
    • 0029959044 scopus 로고    scopus 로고
    • Matching using estimated propensity scores: relating theory to practice
    • Rubin DB, Thomas N. Matching using estimated propensity scores: relating theory to practice. Biometrics 1996; 52(1): 249-264.
    • (1996) Biometrics , vol.52 , Issue.1 , pp. 249-264
    • Rubin, D.B.1    Thomas, N.2
  • 28
    • 33750212091 scopus 로고    scopus 로고
    • Sample size for cluster randomized trials: effect of coefficient of variation of cluster size and analysis method
    • Eldridge SM, Ashby D, Kerry S. Sample size for cluster randomized trials: effect of coefficient of variation of cluster size and analysis method. International Journal of Epidemiology 2006; 35(5): 1292-1300.
    • (2006) International Journal of Epidemiology , vol.35 , Issue.5 , pp. 1292-1300
    • Eldridge, S.M.1    Ashby, D.2    Kerry, S.3
  • 29
    • 84888630702 scopus 로고    scopus 로고
    • Extension of the modified poisson regression model to prospective studies with correlated binary data
    • Zou G, Donner A. Extension of the modified poisson regression model to prospective studies with correlated binary data. Statistical Methods in Medical Research 2013; 22(6): 661-670.
    • (2013) Statistical Methods in Medical Research , vol.22 , Issue.6 , pp. 661-670
    • Zou, G.1    Donner, A.2
  • 30
    • 33846264508 scopus 로고    scopus 로고
    • Analysis of cluster randomized cross-over trial data: a comparison of methods
    • Turner RM, White IR, Croudace T. Analysis of cluster randomized cross-over trial data: a comparison of methods. Statistics in Medicine 2007; 26(2): 274-289.
    • (2007) Statistics in Medicine , vol.26 , Issue.2 , pp. 274-289
    • Turner, R.M.1    White, I.R.2    Croudace, T.3
  • 31
    • 0002864224 scopus 로고    scopus 로고
    • Confounding and collapsibility in causal inference
    • Greenland S, Robins JM, Pearl J. Confounding and collapsibility in causal inference. Statistical Science 1999; 14(1): 29-46.
    • (1999) Statistical Science , vol.14 , Issue.1 , pp. 29-46
    • Greenland, S.1    Robins, J.M.2    Pearl, J.3
  • 32
    • 0001586045 scopus 로고
    • Ramifications of a population model for kappa as a coefficient of reliability
    • Kraemer H. Ramifications of a population model for kappa as a coefficient of reliability. Psychometrika 1979; 44(4): 461-472.
    • (1979) Psychometrika , vol.44 , Issue.4 , pp. 461-472
    • Kraemer, H.1
  • 33
    • 84867329071 scopus 로고    scopus 로고
    • Dichotomizing a continuous outcome in cluster randomized trials: impact on power
    • Caille A, Leyrat C, Giraudeau B. Dichotomizing a continuous outcome in cluster randomized trials: impact on power. Statistics in Medicine 2012; 31(24): 2822-2832.
    • (2012) Statistics in Medicine , vol.31 , Issue.24 , pp. 2822-2832
    • Caille, A.1    Leyrat, C.2    Giraudeau, B.3
  • 34
    • 0023203943 scopus 로고
    • Interpretation and choice of effect measures in epidemiologic analyses
    • Greenland S. Interpretation and choice of effect measures in epidemiologic analyses. American Journal of Epidemiology 1987; 125(5): 761-768.
    • (1987) American Journal of Epidemiology , vol.125 , Issue.5 , pp. 761-768
    • Greenland, S.1
  • 35
    • 66149131082 scopus 로고    scopus 로고
    • The relative merits of risk ratios and odds ratios
    • Cummings P. The relative merits of risk ratios and odds ratios. Archives of Pediatrics & Adolescent Medicine 2009; 163(5): 438-445.
    • (2009) Archives of Pediatrics & Adolescent Medicine , vol.163 , Issue.5 , pp. 438-445
    • Cummings, P.1
  • 36
    • 33846813595 scopus 로고    scopus 로고
    • Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a monte carlo study
    • Austin PC, Grootendorst P, Normand SLT, Anderson GM. Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a monte carlo study. Statistics in Medicine 2007; 26(4): 754-768.
    • (2007) Statistics in Medicine , vol.26 , Issue.4 , pp. 754-768
    • Austin, P.C.1    Grootendorst, P.2    Normand, S.L.T.3    Anderson, G.M.4
  • 37
    • 43049162150 scopus 로고    scopus 로고
    • The performance of different propensity-score methods for estimating relative risks
    • Austin PC. The performance of different propensity-score methods for estimating relative risks. Journal of Clinical Epidemiology 2008; 61(6): 537-545.
    • (2008) Journal of Clinical Epidemiology , vol.61 , Issue.6 , pp. 537-545
    • Austin, P.C.1
  • 38
    • 0037541565 scopus 로고    scopus 로고
    • Estimating the relative risk in cohort studies and clinical trials of common outcomes
    • McNutt LA, 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(10): 940-943.
    • (2003) American Journal of Epidemiology , vol.157 , Issue.10 , pp. 940-943
    • McNutt, L.A.1    Wu, C.2    Xue, X.3    Hafner, J.P.4
  • 39
    • 0028348329 scopus 로고
    • Odds ratio or relative risk for cross-sectional data?
    • Lee J. Odds ratio or relative risk for cross-sectional data?International Journal of Epidemiology 1994; 23(1): 201-203.
    • (1994) International Journal of Epidemiology , vol.23 , Issue.1 , pp. 201-203
    • Lee, J.1
  • 40
    • 33846842327 scopus 로고    scopus 로고
    • A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study
    • Austin PC, Grootendorst P, Anderson GM. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Statistics in Medicine 2007; 26(4): 734-753.
    • (2007) Statistics in Medicine , vol.26 , Issue.4 , pp. 734-753
    • Austin, P.C.1    Grootendorst, P.2    Anderson, G.M.3
  • 42
    • 77950536023 scopus 로고    scopus 로고
    • A solution to separation and multicollinearity in multiple logistic regression
    • Shen J, Gao S. A solution to separation and multicollinearity in multiple logistic regression. Journal of Data Science : JDS 2008; 6(4): 515-531.
    • (2008) Journal of Data Science : JDS , vol.6 , Issue.4 , pp. 515-531
    • Shen, J.1    Gao, S.2
  • 44
    • 0022033155 scopus 로고
    • The bias due to incomplete matching
    • Rosenbaum PR, Rubin DB. The bias due to incomplete matching. Biometrics 1985; 41(1): 103-116.
    • (1985) Biometrics , vol.41 , Issue.1 , pp. 103-116
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 45
    • 77956314484 scopus 로고    scopus 로고
    • The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies
    • Austin PC. The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies. Statistics in Medicine 2010; 29(20): 2137-2148.
    • (2010) Statistics in Medicine , vol.29 , Issue.20 , pp. 2137-2148
    • Austin, P.C.1
  • 46
    • 4444230264 scopus 로고    scopus 로고
    • Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
    • 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(19): 2937-2960.
    • (2004) Statistics in Medicine , vol.23 , Issue.19 , pp. 2937-2960
    • Lunceford, J.K.1    Davidian, M.2
  • 47
    • 33846226426 scopus 로고    scopus 로고
    • Bias reduction in effectiveness analyses of longitudinal ordinal doses with a mixed-effects propensity adjustment
    • Leon AC, Hedeker D, Teres JJ. Bias reduction in effectiveness analyses of longitudinal ordinal doses with a mixed-effects propensity adjustment. Statistics in Medicine 2007; 26(1): 110-123.
    • (2007) Statistics in Medicine , vol.26 , Issue.1 , pp. 110-123
    • Leon, A.C.1    Hedeker, D.2    Teres, J.J.3
  • 48
    • 1442305727 scopus 로고    scopus 로고
    • Design and analysis of group-randomized trials: a review of recent methodological developments
    • Murray DM, Varnell SP, Blitstein JL. Design and analysis of group-randomized trials: a review of recent methodological developments. American Journal of Public Health 2004; 94(3): 423-432.
    • (2004) American Journal of Public Health , vol.94 , Issue.3 , pp. 423-432
    • Murray, D.M.1    Varnell, S.P.2    Blitstein, J.L.3
  • 49
    • 34547409343 scopus 로고    scopus 로고
    • A simulation study of odds ratio estimation for binary outcomes from cluster randomized trials
    • Ukoumunne OC, Carlin JB, Gulliford MC. A simulation study of odds ratio estimation for binary outcomes from cluster randomized trials. Statistics in Medicine 2007; 26(18): 3415-3428.
    • (2007) Statistics in Medicine , vol.26 , Issue.18 , pp. 3415-3428
    • Ukoumunne, O.C.1    Carlin, J.B.2    Gulliford, M.C.3
  • 51
    • 2442664237 scopus 로고    scopus 로고
    • Management of osteoarthritis (OA) with an unsupervised home based exercise programme and/or patient administered assessment tools. a cluster randomised controlled trial with a 2x2 factorial design
    • Ravaud P, Giraudeau B, Logeart I, Larguier JS, Rolland D, Treves R, Euller-Ziegler L, Bannwarth B, Dougados M. Management of osteoarthritis (OA) with an unsupervised home based exercise programme and/or patient administered assessment tools. a cluster randomised controlled trial with a 2x2 factorial design. Annals of the Rheumatic Diseases 2004; 63(6): 703-708.
    • (2004) Annals of the Rheumatic Diseases , vol.63 , Issue.6 , pp. 703-708
    • Ravaud, P.1    Giraudeau, B.2    Logeart, I.3    Larguier, J.S.4    Rolland, D.5    Treves, R.6    Euller-Ziegler, L.7    Bannwarth, B.8    Dougados, M.9
  • 52
    • 84885022704 scopus 로고    scopus 로고
    • The z-difference can be used to measure covariate balance in matched propensity score analyses
    • Kuss O. The z-difference can be used to measure covariate balance in matched propensity score analyses. Journal of Clinical Epidemiology 2013; 66(11): 1302-1307.
    • (2013) Journal of Clinical Epidemiology , vol.66 , Issue.11 , pp. 1302-1307
    • Kuss, O.1
  • 53
    • 4444309927 scopus 로고    scopus 로고
    • Confidence interval estimation of the intraclass correlation coefficient for binary outcome data
    • Zou G, Donner A. Confidence interval estimation of the intraclass correlation coefficient for binary outcome data. Biometrics 2004; 60(3): 807-811.
    • (2004) Biometrics , vol.60 , Issue.3 , pp. 807-811
    • Zou, G.1    Donner, A.2
  • 54
    • 18844452973 scopus 로고    scopus 로고
    • Propensity score methods gave similar results to traditional regression modeling in observational studies: a systematic review
    • Shah BR, Laupacis A, Hux JE, Austin PC. Propensity score methods gave similar results to traditional regression modeling in observational studies: a systematic review. Journal of Clinical Epidemiology 2005; 58(6): 550-559.
    • (2005) Journal of Clinical Epidemiology , vol.58 , Issue.6 , pp. 550-559
    • Shah, B.R.1    Laupacis, A.2    Hux, J.E.3    Austin, P.C.4
  • 56
    • 78449311648 scopus 로고    scopus 로고
    • Bayesian propensity score estimators: incorporating uncertainties in propensity score into causal inference
    • An W. Bayesian propensity score estimators: incorporating uncertainties in propensity score into causal inference. Sociological Methodology 2010; 40(1): 151-189.
    • (2010) Sociological Methodology , vol.40 , Issue.1 , pp. 151-189
    • An, W.1
  • 57
    • 77953607621 scopus 로고    scopus 로고
    • Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression
    • Westreich D, Lessler J, Funk MJ. Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression. Journal of Clinical Epidemiology 2010; 63(8): 826-833.
    • (2010) Journal of Clinical Epidemiology , vol.63 , Issue.8 , pp. 826-833
    • Westreich, D.1    Lessler, J.2    Funk, M.J.3
  • 59
    • 38849111846 scopus 로고    scopus 로고
    • Stratification for the propensity score compared with linear regression techniques to assess the effect of treatment or exposure
    • Senn S, Graf E, Caputo A. Stratification for the propensity score compared with linear regression techniques to assess the effect of treatment or exposure. Statistics in Medicine 2007; 26(30): 5529-5544.
    • (2007) Statistics in Medicine , vol.26 , Issue.30 , pp. 5529-5544
    • Senn, S.1    Graf, E.2    Caputo, A.3
  • 60
    • 0035099161 scopus 로고    scopus 로고
    • A covariance estimator for GEE with improved small-sample properties
    • Mancl LA, DeRouen TA. A covariance estimator for GEE with improved small-sample properties. Biometrics 2001; 57(1): 126-134.
    • (2001) Biometrics , vol.57 , Issue.1 , pp. 126-134
    • Mancl, L.A.1    DeRouen, T.A.2
  • 61
    • 78650039391 scopus 로고    scopus 로고
    • Sample size considerations for GEE analyses of three-level cluster randomized trials
    • Teerenstra S, Lu B, Preisser JS, van Achterberg T, Borm GF. Sample size considerations for GEE analyses of three-level cluster randomized trials. Biometrics 2010; 66(4).
    • (2010) Biometrics , vol.66 , Issue.4
    • Teerenstra, S.1    Lu, B.2    Preisser, J.S.3    van Achterberg, T.4    Borm, G.F.5
  • 62
    • 58749099140 scopus 로고    scopus 로고
    • Finite sample adjustments in estimating equations and covariance estimators for intracluster correlations
    • Preisser JS, Lu B, Qaqish BF. Finite sample adjustments in estimating equations and covariance estimators for intracluster correlations. Statistics in Medicine 2008; 27(27): 5764-5785.
    • (2008) Statistics in Medicine , vol.27 , Issue.27 , pp. 5764-5785
    • Preisser, J.S.1    Lu, B.2    Qaqish, B.F.3


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