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Volumn 71, Issue , 2014, Pages 758-770

Model selection and model averaging after multiple imputation

Author keywords

Akaike's information criterion; Bootstrap; Frequentist model averaging; Linear regression; Missing data; Survival analysis

Indexed keywords

AKAIKE'S INFORMATION CRITERIONS; BOOTSTRAP; MISSING DATA; MODEL AVERAGING; SURVIVAL ANALYSIS;

EID: 84889086570     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2013.02.017     Document Type: Article
Times cited : (77)

References (51)
  • 2
    • 0030613470 scopus 로고    scopus 로고
    • Model selection: An integral part of inference
    • S.T. Buckland, K.P. Burnham, and N.H. Augustin Model selection: an integral part of inference Biometrics 53 1997 603 618
    • (1997) Biometrics , vol.53 , pp. 603-618
    • Buckland, S.T.1    Burnham, K.P.2    Augustin, N.H.3
  • 3
    • 0032536651 scopus 로고    scopus 로고
    • An Akaike information criterion for model selection in the presence of incomplete data
    • PII S0378375897001158
    • J. Cavanaugh, and R. Shumway An Akaike information criterion for model selection in the presence of incomplete data Journal of Statistical Planning and Inference 67 1998 45 65 (Pubitemid 128177344)
    • (1998) Journal of Statistical Planning and Inference , vol.67 , Issue.1 , pp. 45-65
    • Cavanaugh, J.E.1    Shumway, R.H.2
  • 4
    • 1942422934 scopus 로고
    • Model uncertainty, data mining and statistical inference
    • C. Chatfield Model uncertainty, data mining and statistical inference Journal of the Royal Statistical Society A 158 1995 419 466
    • (1995) Journal of the Royal Statistical Society A , vol.158 , pp. 419-466
    • Chatfield, C.1
  • 5
    • 56049125498 scopus 로고    scopus 로고
    • Variable selection with incomplete covariate data
    • G. Claeskens, and F. Consentino Variable selection with incomplete covariate data Biometrics 64 2008 1062 1069
    • (2008) Biometrics , vol.64 , pp. 1062-1069
    • Claeskens, G.1    Consentino, F.2
  • 10
    • 34250303142 scopus 로고    scopus 로고
    • Least squares model averaging
    • B.E. Hansen Least squares model averaging Econometrica 75 2007 1175 1189
    • (2007) Econometrica , vol.75 , pp. 1175-1189
    • Hansen, B.E.1
  • 12
    • 33745947404 scopus 로고    scopus 로고
    • Model selection for incomplete and design-based samples
    • DOI 10.1002/sim.2559
    • N. Hens, M. Aerts, and G. Molenberghs Model selection for incomplete and design based samples Statistics in Medicine 25 2006 2502 2520 (Pubitemid 44057052)
    • (2006) Statistics in Medicine , vol.25 , Issue.14 , pp. 2502-2520
    • Hens, N.1    Aerts, M.2    Molenberghs, G.3
  • 13
    • 84889096126 scopus 로고    scopus 로고
    • An efficient model averaging procedure for logistic regression models using a Bayesian estimator with Laplace prior
    • Kneib, T., Tutz, G. (Eds.)
    • Heumann, C., Grenke, M., 2010. An efficient model averaging procedure for logistic regression models using a Bayesian estimator with Laplace prior. In: Kneib, T., Tutz, G. (Eds.), Statistical Modelling and Regression Structures. Physica, pp. 79-90.
    • (2010) Statistical Modelling and Regression Structures. Physica , pp. 79-90
    • Heumann, C.1    Grenke, M.2
  • 15
    • 33846098896 scopus 로고    scopus 로고
    • Focussed information criteria and model averaging for Cox's hazard regression model
    • N.L. Hjort, and G. Claeskens Focussed information criteria and model averaging for Cox's hazard regression model Journal of the American Statistical Association 101 2006 1449 1464
    • (2006) Journal of the American Statistical Association , vol.101 , pp. 1449-1464
    • Hjort, N.L.1    Claeskens, G.2
  • 17
    • 77954332545 scopus 로고    scopus 로고
    • What to do about missing values in time series cross-section data
    • J. Honaker, and G. King What to do about missing values in time series cross-section data American Journal of Political Science 54 2010 561 581
    • (2010) American Journal of Political Science , vol.54 , pp. 561-581
    • Honaker, J.1    King, G.2
  • 19
    • 33846873244 scopus 로고    scopus 로고
    • Much ado about nothing: A comparison of missing data methods and software to fit incomplete regression models
    • N. Horton, and K. Kleinman Much ado about nothing: a comparison of missing data methods and software to fit incomplete regression models The American Statistician 61 2007 79 90
    • (2007) The American Statistician , vol.61 , pp. 79-90
    • Horton, N.1    Kleinman, K.2
  • 21
    • 30344438615 scopus 로고    scopus 로고
    • On the large-sample minimal coverage probability of confidence intervals after model selection
    • DOI 10.1198/016214505000001140
    • P. Kabaila, and H. Leeb On the large-sample minimal coverage probability of confidence intervals after model selection Journal of the American Statistical Association 101 2006 619 629 (Pubitemid 43972303)
    • (2006) Journal of the American Statistical Association , vol.101 , Issue.474 , pp. 619-629
    • Kabaila, P.1    Leeb, H.2
  • 22
    • 15744376883 scopus 로고    scopus 로고
    • Model selection and inference: Facts and fiction
    • DOI 10.1017/S0266466605050036
    • H. Leeb, and B.M. Pötscher Model selection and inference: facts and fiction Econometric Theory 21 2005 21 59 (Pubitemid 40419123)
    • (2005) Econometric Theory , vol.21 , Issue.1 , pp. 21-59
    • Leeb, H.1    Potscher, B.M.2
  • 23
    • 33847415033 scopus 로고    scopus 로고
    • Can one estimate the conditional distribution of post-model-selection estimators?
    • H. Leeb, and B.M. Pötscher Can one estimate the conditional distribution of post-model-selection estimators? Annals of Statistics 34 2006 2554 2591
    • (2006) Annals of Statistics , vol.34 , pp. 2554-2591
    • Leeb, H.1    Pötscher, B.M.2
  • 24
    • 39649113562 scopus 로고    scopus 로고
    • Can one estimate the unconditional distribution of post-model-selection estimators?
    • H. Leeb, and B.M. Pötscher Can one estimate the unconditional distribution of post-model-selection estimators? Econometric Theory 24 2008 338 376
    • (2008) Econometric Theory , vol.24 , pp. 338-376
    • Leeb, H.1    Pötscher, B.M.2
  • 28
    • 70349968059 scopus 로고    scopus 로고
    • A comparison of two model averaging techniques with an application to growth empirics
    • J. Magnus, O. Powell, and P. Prüfer A comparison of two model averaging techniques with an application to growth empirics Journal of Econometrics 154 2010 139 153
    • (2010) Journal of Econometrics , vol.154 , pp. 139-153
    • Magnus, J.1    Powell, O.2    Prüfer, P.3
  • 29
    • 78649316146 scopus 로고    scopus 로고
    • Weighted average least squares estimation with nonspherical disturbances and an application to the Hong Kong housing market
    • J. Magnus, A. Wan, and X. Zhang Weighted average least squares estimation with nonspherical disturbances and an application to the Hong Kong housing market Computational Statistics and Data Analysis 55 2011 1331 1341
    • (2011) Computational Statistics and Data Analysis , vol.55 , pp. 1331-1341
    • Magnus, J.1    Wan, A.2    Zhang, X.3
  • 30
    • 77955566935 scopus 로고    scopus 로고
    • Prognosis of petients with HIV-1 infection starting therapy in sub-Saharan Africa: A collaborative analysis of scale-up programmes
    • M. May, A. Boulle, S. Phiri, E. Messou, L. Myer, R. Wood, J. Sterne, F. Dabis, and M. Egger Prognosis of petients with HIV-1 infection starting therapy in sub-Saharan Africa: a collaborative analysis of scale-up programmes Lancet 376 2010 449 457
    • (2010) Lancet , vol.376 , pp. 449-457
    • May, M.1    Boulle, A.2    Phiri, S.3    Messou, E.4    Myer, L.5    Wood, R.6    Sterne, J.7    Dabis, F.8    Egger, M.9
  • 31
    • 79959356403 scopus 로고    scopus 로고
    • Incomplete data: Introduction and overview
    • G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs, CRC Press
    • G. Molenberghs, and G. Fitzmaurice Incomplete data: introduction and overview G. Fitzmaurice, M. Davidian, G. Verbeke, G. Molenberghs, Longitudinal Data Analysis 2009 CRC Press 395 408
    • (2009) Longitudinal Data Analysis , pp. 395-408
    • Molenberghs, G.1    Fitzmaurice, G.2
  • 32
    • 39649118998 scopus 로고    scopus 로고
    • The distribution of model averaging estimators and an impossibility result regarding its estimation
    • H. Ho, C. Ing, T. Lai
    • B. Pötscher The distribution of model averaging estimators and an impossibility result regarding its estimation H. Ho, C. Ing, T. Lai, IMS Lecture Notes: Time Series and Related Topics, vol. 52 2006 113 129
    • (2006) IMS Lecture Notes: Time Series and Related Topics, Vol. 52 , pp. 113-129
    • Pötscher, B.1
  • 35
    • 0000135972 scopus 로고
    • The Bayesian bootstrap
    • D. Rubin The Bayesian bootstrap Annals of Statistics 9 1981 130 134
    • (1981) Annals of Statistics , vol.9 , pp. 130-134
    • Rubin, D.1
  • 36
    • 84950918760 scopus 로고
    • Multiple imputation for interval estimation from simple random samples with ignorable nonresponse
    • D. Rubin, and N. Schenker Multiple imputation for interval estimation from simple random samples with ignorable nonresponse Journal of the American Statistical Association 81 1986 366 374
    • (1986) Journal of the American Statistical Association , vol.81 , pp. 366-374
    • Rubin, D.1    Schenker, N.2
  • 37
    • 84867875106 scopus 로고    scopus 로고
    • Shrinkage averaging estimation
    • M. Schomaker Shrinkage averaging estimation Statistical Papers 53 2012 1015 1034
    • (2012) Statistical Papers , vol.53 , pp. 1015-1034
    • Schomaker, M.1
  • 38
    • 80755130198 scopus 로고    scopus 로고
    • Model averaging in factor analysis: An analysis of Olympic decathlon data
    • Article 4
    • M. Schomaker, and C. Heumann Model averaging in factor analysis: an analysis of Olympic decathlon data Journal of Quantitative Analysis in Sports 7 1 2011 Article 4
    • (2011) Journal of Quantitative Analysis in Sports , vol.7 , Issue.1
    • Schomaker, M.1    Heumann, C.2
  • 41
    • 0000629975 scopus 로고
    • Cross-validatory choice and assessment of statistical predictions
    • M. Stone Cross-validatory choice and assessment of statistical predictions Journal of the Royal Statistical Society B 36 1974 111 147
    • (1974) Journal of the Royal Statistical Society B , vol.36 , pp. 111-147
    • Stone, M.1
  • 43
    • 84855399731 scopus 로고    scopus 로고
    • Baseline predictors of sputum conversion in pulmonary tuberculosis: Importance of cavities, smoking, time to detection and W-Beijing genotype
    • M. Visser, M. Stead, G. Walzl, R. Warren, M. Schomaker, H. Grewal, E. Swart, and G. Maartens Baseline predictors of sputum conversion in pulmonary tuberculosis: importance of cavities, smoking, time to detection and W-Beijing genotype PLoS ONE 7 2012 e29588
    • (2012) PLoS ONE , vol.7 , pp. 29588
    • Visser, M.1    Stead, M.2    Walzl, G.3    Warren, R.4    Schomaker, M.5    Grewal, H.6    Swart, E.7    Maartens, G.8
  • 44
    • 77950520470 scopus 로고    scopus 로고
    • Least squares model averaging by mallows criterion
    • A.T.K. Wan, X. Zhang, and G.H. Zou Least squares model averaging by mallows criterion Journal of Econometrics 156 2010 277 283
    • (2010) Journal of Econometrics , vol.156 , pp. 277-283
    • Wan, A.T.K.1    Zhang, X.2    Zou, G.H.3
  • 47
    • 84875403254 scopus 로고    scopus 로고
    • Model averaging for varying-coefficient partially linear measurement error models
    • H. Wang, G. Zou, and A. Wan Model averaging for varying-coefficient partially linear measurement error models Electronic Journal of Statistics 6 2012 1017 1039
    • (2012) Electronic Journal of Statistics , vol.6 , pp. 1017-1039
    • Wang, H.1    Zou, G.2    Wan, A.3
  • 48
    • 78651256743 scopus 로고    scopus 로고
    • Multiple imputation using chained equations
    • I. White, P. Royston, and A. Wood Multiple imputation using chained equations Statistics in Medicine 30 2011 377 399
    • (2011) Statistics in Medicine , vol.30 , pp. 377-399
    • White, I.1    Royston, P.2    Wood, A.3
  • 49
    • 48249126832 scopus 로고    scopus 로고
    • How should variable selection be performed with multiply imputed data?
    • A. Wood, I. White, and P. Royston How should variable selection be performed with multiply imputed data? Statistics in Medicine 27 2008 3227 3246
    • (2008) Statistics in Medicine , vol.27 , pp. 3227-3246
    • Wood, A.1    White, I.2    Royston, P.3
  • 50
    • 35349017857 scopus 로고    scopus 로고
    • Enjoy the joy of copulas: With package copula
    • J. Yan Enjoy the joy of copulas: with package copula Journal of Statistical Software 21 2007 1 21
    • (2007) Journal of Statistical Software , vol.21 , pp. 1-21
    • Yan, J.1
  • 51
    • 84863179989 scopus 로고    scopus 로고
    • Focused information criteria, model selection and model averaging in a tobit model with a non-zero threshold
    • X. Zhang, A. Wan, and S. Zhou Focused information criteria, model selection and model averaging in a tobit model with a non-zero threshold Journal of Business and Economics Statistics 30 2012 132 142
    • (2012) Journal of Business and Economics Statistics , vol.30 , pp. 132-142
    • Zhang, X.1    Wan, A.2    Zhou, S.3


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