메뉴 건너뛰기




Volumn 37, Issue 1, 2007, Pages 83-117

Regression with missing Ys: An improved strategy for analyzing multiply imputed data

Author keywords

[No Author keywords available]

Indexed keywords


EID: 34548736509     PISSN: 00811750     EISSN: 14679531     Source Type: Journal    
DOI: 10.1111/j.1467-9531.2007.00180.x     Document Type: Article
Times cited : (1180)

References (29)
  • 1
    • 0034339545 scopus 로고    scopus 로고
    • Multiple Imputation for Missing Data: A Cautionary Tale
    • Allison, Paul D. 2000 Multiple Imputation for Missing Data: A Cautionary Tale Sociological Methods and Research 28 : 301 9.
    • (2000) Sociological Methods and Research , vol.28 , pp. 301-9
    • Allison, P.D.1
  • 6
    • 0035755636 scopus 로고    scopus 로고
    • A Comparison of Inclusive and Restrictive Strategies in Modern Missing Data Procedures
    • and
    • Collins, Linda M., Joseph L. Schafer, and Chi-Ming Kam. 2001 A Comparison of Inclusive and Restrictive Strategies in Modern Missing Data Procedures Psychological Methods 6 (4 330 51.
    • (2001) Psychological Methods , vol.6 , Issue.4 , pp. 330-51
    • Collins, L.M.1    Schafer, J.L.2    Kam, C.-Ming.3
  • 8
    • 0242710940 scopus 로고    scopus 로고
    • A Potential for Bias When Rounding in Multiple Imputation
    • and
    • Horton, Nicholas J., Stuart R. Lipsitz, and Michael Parzen. 2003 A Potential for Bias When Rounding in Multiple Imputation The American Statistician 57 (4 229 32.
    • (2003) The American Statistician , vol.57 , Issue.4 , pp. 229-32
    • Horton, N.J.1    Lipsitz, S.R.2    Parzen, M.3
  • 10
    • 0040630186 scopus 로고
    • Significance Levels from Repeated P-Values with Multiply Imputed Data
    • and
    • Li, Kim-Hung, Xiao-Li Meng, Trivellore E. Raghunathan, and Donald B. Rubin. 1991 Significance Levels from Repeated P-Values with Multiply Imputed Data Statistica Sinica 1 : 65 92.
    • (1991) Statistica Sinica , vol.1 , pp. 65-92
    • Li K.-Hung1    Meng X.-Li2    Raghunathan, T.E.3    Rubin, D.B.4
  • 11
    • 0000265107 scopus 로고
    • Large Sample Significance Levels from Multiply-Imputed Data Using Moment-Based Statistics and an F Reference Distribution
    • and
    • Li, Kim-Hung, Trivellore E. Raghunathan, and Donald B. Rubin. 1991 Large Sample Significance Levels from Multiply-Imputed Data Using Moment-Based Statistics and an F Reference Distribution Journal of the American Statistical Association 86 : 1065 73.
    • (1991) Journal of the American Statistical Association , vol.86 , pp. 1065-73
    • Li K.-Hung1    Raghunathan, T.E.2    Rubin, D.B.3
  • 14
    • 84972537494 scopus 로고
    • Multiple Imputation Inferences with Uncongenial Sources of Input
    • Meng, Xiao-Li. 1995 Multiple Imputation Inferences with Uncongenial Sources of Input Statistical Science 10 : 538 73.
    • (1995) Statistical Science , vol.10 , pp. 538-73
    • Meng, X.-Li.1
  • 15
    • 0001109923 scopus 로고
    • Performing Likelihood Ratio Tests with Multiply-Imputed Data Sets
    • and
    • Meng, Xiao-Li, and, Donald B. Rubin. 1992 Performing Likelihood Ratio Tests with Multiply-Imputed Data Sets Biometrika 79 (1 103 11.
    • (1992) Biometrika , vol.79 , Issue.1 , pp. 103-11
    • Meng X.-Li1    Rubin, D.B.2
  • 17
    • 0000661332 scopus 로고
    • A Generalized Multivariate Analysis of Variance Model Useful Especially for Growth Curve Problems
    • and
    • Potthoff, Richard F., and S. N. Roy. 1964 A Generalized Multivariate Analysis of Variance Model Useful Especially for Growth Curve Problems Biometrika 51 : 313 26.
    • (1964) Biometrika , vol.51 , pp. 313-26
    • Potthoff, R.F.1    Roy, S.N.2
  • 19
    • 0035228852 scopus 로고    scopus 로고
    • Comparing Personal Trajectories and Drawing Causal Inferences from Longitudinal Data
    • Raudenbush, Stephen W. 2001 Comparing Personal Trajectories and Drawing Causal Inferences from Longitudinal Data Annual Review of Psychology 52 : 501 25.
    • (2001) Annual Review of Psychology , vol.52 , pp. 501-25
    • Raudenbush, S.W.1
  • 20
    • 34548704976 scopus 로고    scopus 로고
    • The importance of Modeling the Sampling Design in Multiple Imputation for Missing Data
    • and
    • Reiter, Jerry P., Trivellore E. Raghunathan, and Satkartar Kinney. 2006 The importance of Modeling the Sampling Design in Multiple Imputation for Missing Data Survey Methodology.
    • (2006) Survey Methodology.
    • Reiter, J.P.1    Raghunathan, T.E.2    Kinney, S.3
  • 21
    • 20344370565 scopus 로고    scopus 로고
    • Multiple Imputation of Missing Values
    • Royston, Patrick. 2004 Multiple Imputation of Missing Values Stata Journal 4 : 227 41.
    • (2004) Stata Journal , vol.4 , pp. 227-41
    • Royston, P.1
  • 24
    • 27644493802 scopus 로고    scopus 로고
    • Discussion on Multiple Imputation
    • Rubin, Donald B. 2003 Discussion on Multiple Imputation International Statistical Review 71 (3 619 25.
    • (2003) International Statistical Review , vol.71 , Issue.3 , pp. 619-25
    • Rubin, D.B.1
  • 25
    • 84950918760 scopus 로고
    • Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse
    • and
    • Rubin, Donald B. and Nathaniel Schenker. 1986 Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse Journal of the American Statistical Association 81 (394 366 74.
    • (1986) Journal of the American Statistical Association , vol.81 , Issue.394 , pp. 366-74
    • Rubin, D.B.1    Schenker, N.2
  • 26
    • 0036017469 scopus 로고    scopus 로고
    • Computational Strategies for Multivariate Linear Mixed-Effects Models with Missing Values
    • and
    • Schafer, Joseph L., and Recai M. Yucel. 2002 Computational Strategies for Multivariate Linear Mixed-Effects Models with Missing Values Journal of Computational and Graphical Statistics 11 (2 437 57.
    • (2002) Journal of Computational and Graphical Statistics , vol.11 , Issue.2 , pp. 437-57
    • Schafer, J.L.1    Yucel, R.M.2
  • 27
    • 85015814688 scopus 로고    scopus 로고
    • Biases in SPSS 12.0 Missing Values Analysis
    • von Hippel, Paul T. 2004 Biases in SPSS 12.0 Missing Values Analysis The American Statistician 58 (2 160 164.
    • (2004) The American Statistician , vol.58 , Issue.2 , pp. 160-164
    • Von Hippel, P.T.1
  • 28
    • 18444377893 scopus 로고    scopus 로고
    • How Many Imputations Are Needed? A Comment on Hershberger and Fisher (2003)
    • von Hippel, Paul T. 2005 How Many Imputations Are Needed? A Comment on Hershberger and Fisher (2003) Structural Equation Modeling 12 (2 334 35.
    • (2005) Structural Equation Modeling , vol.12 , Issue.2 , pp. 334-35
    • Von Hippel, P.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.