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Volumn 50, Issue 3, 2008, Pages 329-345

Imputation strategies for missing continuous outcomes in cluster randomized trials

Author keywords

Adjusted two sample t test; Attrition; Community intervention trial; Intracluster correlation; Mean imputation; Multiple imputation

Indexed keywords

ADJUSTED TWO-SAMPLE T-TEST; ATTRITION; CLUSTER RANDOMIZED TRIALS; COMMUNITY INTERVENTION TRIAL; IMPUTATION STRATEGY; INTRACLUSTER CORRELATIONS; MEAN IMPUTATION; MULTIPLE IMPUTATION; TWO SAMPLE T TESTS; WITHIN CLUSTERS;

EID: 49849097915     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.200710423     Document Type: Review
Times cited : (73)

References (43)
  • 1
    • 2442736478 scopus 로고    scopus 로고
    • Small-sample degrees of freedom with multiple imputation
    • Barnard, J. and Rubin, D. B. (1999). Small-sample degrees of freedom with multiple imputation. Biometrika 86(4), 948-955.
    • (1999) Biometrika , vol.86 , Issue.4 , pp. 948-955
    • Barnard, J.1    Rubin, D.B.2
  • 2
    • 0035865989 scopus 로고    scopus 로고
    • Cluster trials in implementation research: Estimation of intracluster correlation coefficients and sample size
    • Campbell, M. K., Mollison, J., and Grimshaw, J. M. (2001). Cluster trials in implementation research: estimation of intracluster correlation coefficients and sample size. Statistics in Medicine 20(3), 391-399.
    • (2001) Statistics in Medicine , vol.20 , Issue.3 , pp. 391-399
    • Campbell, M.K.1    Mollison, J.2    Grimshaw, J.M.3
  • 4
    • 0028955553 scopus 로고
    • Community intervention trial for smoking cessation: I. Cohort results from a four-year community intervention
    • COMMIT
    • COMMIT. (1995). Community intervention trial for smoking cessation: I. Cohort results from a four-year community intervention. American Journal of Public Health 85(2), 183-192.
    • (1995) American Journal of Public Health , vol.85 , Issue.2 , pp. 183-192
  • 7
    • 0025690127 scopus 로고
    • A methodological review of non-therapeutic intervention trials employing cluster randomization, 1979-1989
    • Donner, A., Brown, K. S., and Brasher, P. (1990). A methodological review of non-therapeutic intervention trials employing cluster randomization, 1979-1989. International Journal of Epidemiology 19(4), 795-800.
    • (1990) International Journal of Epidemiology , vol.19 , Issue.4 , pp. 795-800
    • Donner, A.1    Brown, K.S.2    Brasher, P.3
  • 8
    • 43949159608 scopus 로고
    • Cluster randomization trials in epidemiology: Theory and application
    • Donner, A. and Klar, N. (1994). Cluster randomization trials in epidemiology: theory and application. Journal of Statistical Planning and Inference 42, 37-56.
    • (1994) Journal of Statistical Planning and Inference , vol.42 , pp. 37-56
    • Donner, A.1    Klar, N.2
  • 10
    • 0027976998 scopus 로고
    • Cohort versus cross-sectional design in large field trials: Precision, sample size, and a unifying model
    • Feldman, H. A. and McKinlay, S. M. (1994). Cohort versus cross-sectional design in large field trials: precision, sample size, and a unifying model. Statistics in Medicine 13, 61-78.
    • (1994) Statistics in Medicine , vol.13 , pp. 61-78
    • Feldman, H.A.1    McKinlay, S.M.2
  • 13
    • 0026517070 scopus 로고
    • Aspects of statistical design for the community intervention trial for smoking cessation (COMMIT)
    • Gail, M. H., Byar, D. P., Pechacek, T. F., and Corle, D. K. (1992). Aspects of statistical design for the community intervention trial for smoking cessation (COMMIT). Controlled Clinical Trials 13, 6-21.
    • (1992) Controlled Clinical Trials , vol.13 , pp. 6-21
    • Gail, M.H.1    Byar, D.P.2    Pechacek, T.F.3    Corle, D.K.4
  • 14
    • 0002545717 scopus 로고
    • Tests for no treatment effect in randomized clinical trials
    • Gail, M. H., Tan, W. Y., and Piantadosi, S. (1988). Tests for no treatment effect in randomized clinical trials. Biometrika 75, 57-64.
    • (1988) Biometrika , vol.75 , pp. 57-64
    • Gail, M.H.1    Tan, W.Y.2    Piantadosi, S.3
  • 15
    • 0003860037 scopus 로고    scopus 로고
    • Gilks, W. R, Richardson, S, and Spiegelhalter, D. J, eds, Chapman and Hall, London
    • Gilks, W. R., Richardson, S., and Spiegelhalter, D. J. (eds.) (1996). Markov-Chain Monte Carlo in Practice. Chapman and Hall, London.
    • (1996) Markov-Chain Monte Carlo in Practice
  • 17
    • 23044525261 scopus 로고    scopus 로고
    • Multiple imputation in practice: Comparison of software packages for regression models with missing variables
    • Horton, N. J. and Lipsitz, S. R. (2001). Multiple imputation in practice: Comparison of software packages for regression models with missing variables. American Statistician 5(3), 244-254.
    • (2001) American Statistician , vol.5 , Issue.3 , pp. 244-254
    • Horton, N.J.1    Lipsitz, S.R.2
  • 18
    • 0035970128 scopus 로고    scopus 로고
    • Imputation strategies for missing data in a school-based multi-centre study: The Pathways study
    • Hunsberger, S., Murray, D., Davis, C. E., and Fabsitz, R. R. (2001). Imputation strategies for missing data in a school-based multi-centre study: the Pathways study. Statistics in Medicine 20, 305-316.
    • (2001) Statistics in Medicine , vol.20 , pp. 305-316
    • Hunsberger, S.1    Murray, D.2    Davis, C.E.3    Fabsitz, R.R.4
  • 19
    • 0020333131 scopus 로고
    • Random-effects models for longitudinal data
    • Laird, N. M. and Ware, J. H. (1982). Random-effects models for longitudinal data. Biometrics 38, 963-974.
    • (1982) Biometrics , vol.38 , pp. 963-974
    • Laird, N.M.1    Ware, J.H.2
  • 20
    • 0029157096 scopus 로고
    • A multiple imputation strategy for clinical trials with truncation of patient data
    • Lavori, P. W., Dawson, R., and Shera, D. (1995). A multiple imputation strategy for clinical trials with truncation of patient data. Statistics in Medicine 14, 1913-1925.
    • (1995) Statistics in Medicine , vol.14 , pp. 1913-1925
    • Lavori, P.W.1    Dawson, R.2    Shera, D.3
  • 21
    • 0041075396 scopus 로고    scopus 로고
    • A partial correlation coefficient and coefficient of determination for multivariate normal repeated measures data
    • Lipsitz, S. R., Leong, T., and Lipschultz, S. (2001). A partial correlation coefficient and coefficient of determination for multivariate normal repeated measures data. The Statistician 50(1), 87-95.
    • (2001) The Statistician , vol.50 , Issue.1 , pp. 87-95
    • Lipsitz, S.R.1    Leong, T.2    Lipschultz, S.3
  • 23
    • 0033637095 scopus 로고    scopus 로고
    • Multiple Imputation and Posterior Simulation for Multivariate Missing Data in Longitudinal Studies
    • Liu, M., Taylor, J. M. G., and Belin, T. R. (2000). Multiple Imputation and Posterior Simulation for Multivariate Missing Data in Longitudinal Studies. Biometrics 56, 1157-1163.
    • (2000) Biometrics , vol.56 , pp. 1157-1163
    • Liu, M.1    Taylor, J.M.G.2    Belin, T.R.3
  • 24
    • 84972537494 scopus 로고
    • Multiple Imputation with Uncongenial Sources of Input (with discussion)
    • Meng, X. L. (1994). Multiple Imputation with Uncongenial Sources of Input (with discussion). Statistical Science 9, 538-574.
    • (1994) Statistical Science , vol.9 , pp. 538-574
    • Meng, X.L.1
  • 26
    • 0026958173 scopus 로고
    • Statistical methods for longitudinal and clustered designs with binary responses
    • Neuhaus, J. M. (1992). Statistical methods for longitudinal and clustered designs with binary responses. Statistical Methods in Medical Research 1, 249-273.
    • (1992) Statistical Methods in Medical Research , vol.1 , pp. 249-273
    • Neuhaus, J.M.1
  • 27
    • 3843110927 scopus 로고    scopus 로고
    • Modelling and generating correlated binary variables
    • Oman, S. D. and Zucker, D. M. (2001). Modelling and generating correlated binary variables. Biometrika 88, 287-290.
    • (2001) Biometrika , vol.88 , pp. 287-290
    • Oman, S.D.1    Zucker, D.M.2
  • 28
    • 0024266392 scopus 로고
    • Correlated binary regression with covariates specific to each binary observation
    • Prentice, R. L. (1988). Correlated binary regression with covariates specific to each binary observation. Biometrics 44, 1033-1048.
    • (1988) Biometrics , vol.44 , pp. 1033-1048
    • Prentice, R.L.1
  • 29
    • 84950918760 scopus 로고
    • Multiple imputation for interval estimation from simple random samples with ignorable nonresponse
    • Rubin, D. B. and Schenker, N. (1986). Multiple imputation for interval estimation from simple random samples with ignorable nonresponse. Journal of the American Statistical Association 81(394), 366-374.
    • (1986) Journal of the American Statistical Association , vol.81 , Issue.394 , pp. 366-374
    • Rubin, D.B.1    Schenker, N.2
  • 30
    • 0025801348 scopus 로고
    • Multiple imputation in health-care databases: An overview and some applications
    • Rubin, D. B. and Schenker, N. (1991). Multiple imputation in health-care databases: an overview and some applications. Statistics in Medicine 10, 585-598.
    • (1991) Statistics in Medicine , vol.10 , pp. 585-598
    • Rubin, D.B.1    Schenker, N.2
  • 31
    • 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
  • 36
    • 0004211748 scopus 로고    scopus 로고
    • Multiple imputation with PAN
    • Sayer, A. G, Collins, L. M, eds, American Psychological Association, Washington DC
    • Schafer, J. L. (2001). Multiple imputation with PAN. In: Sayer, A. G., Collins, L. M. (eds.), New methods for the analysis of change. American Psychological Association, Washington DC.
    • (2001) New methods for the analysis of change
    • Schafer, J.L.1
  • 37
    • 0030248442 scopus 로고    scopus 로고
    • Factors affecting attrition in a longitudinal smoking prevention study
    • Siddiqui, O., Flay, B. R., and Hu, F. B. (1996). Factors affecting attrition in a longitudinal smoking prevention study. Preventive Medicine 25, 554-560.
    • (1996) Preventive Medicine , vol.25 , pp. 554-560
    • Siddiqui, O.1    Flay, B.R.2    Hu, F.B.3
  • 38
    • 0018251271 scopus 로고
    • Life style intervention in clinic-based trials
    • Syme, S. L. (1978). Life style intervention in clinic-based trials. American Journal of Epidemiology 108, 87-91.
    • (1978) American Journal of Epidemiology , vol.108 , pp. 87-91
    • Syme, S.L.1
  • 39
    • 34249682530 scopus 로고    scopus 로고
    • Accounting for Expected Attrition in the Planning of Community Intervention Trials
    • Taljaard, M., Donner, A., and Klar, N. (2007). Accounting for Expected Attrition in the Planning of Community Intervention Trials. Statistics in Medicine 26, 2615-2628
    • (2007) Statistics in Medicine , vol.26 , pp. 2615-2628
    • Taljaard, M.1    Donner, A.2    Klar, N.3
  • 40
    • 0035042605 scopus 로고    scopus 로고
    • Evaluation of Indicated Suicide Risk Prevention Approaches for Potential High School Drop outs
    • Thompson, E. A., Eggert, L. L., Randell, B. P., and Pike, K. C. (2001). Evaluation of Indicated Suicide Risk Prevention Approaches for Potential High School Drop outs. American Journal of Public Health 91(5), 742-752.
    • (2001) American Journal of Public Health , vol.91 , Issue.5 , pp. 742-752
    • Thompson, E.A.1    Eggert, L.L.2    Randell, B.P.3    Pike, K.C.4
  • 43
    • 0345659235 scopus 로고    scopus 로고
    • Multiple Imputation: Theory and Method
    • Zhang, P. (2003). Multiple Imputation: Theory and Method. International Statistical Review 71(3), 581-592.
    • (2003) International Statistical Review , vol.71 , Issue.3 , pp. 581-592
    • Zhang, P.1


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