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Volumn 27, Issue 30, 2008, Pages 6310-6331

The performance of multiple imputation for missing covariate data within the context of regression relative survival analysis

Author keywords

Colon cancer; Missing data; Multiple imputation; Proportional hazards model; Relative survival

Indexed keywords

AGED; ARTICLE; COLORECTAL TUMOR; COMPUTER SIMULATION; FEMALE; FRANCE; HUMAN; MALE; MIDDLE AGED; MORTALITY; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; REGISTER; STATISTICAL MODEL; SURVIVAL;

EID: 63249095839     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3476     Document Type: Article
Times cited : (28)

References (46)
  • 1
    • 0019436174 scopus 로고
    • Accuracy of cancer death certificates and its effect on cancer mortality statistics
    • Percy CL, Stanek E, Gloeckler L. Accuracy of cancer death certificates and its effect on cancer mortality statistics. American Journal of Public Health 1981; 71:242-250.
    • (1981) American Journal of Public Health , vol.71 , pp. 242-250
    • Percy, C.L.1    Stanek, E.2    Gloeckler, L.3
  • 3
    • 0026530295 scopus 로고
    • Different multiple regressions models for estimating survival: use in a population-based series of colorectal cancer
    • DOI: 10.1016/0895-4356(92)90086-3
    • Monnet E, Boutron MC, Arveux P, Milan C, Faivre J. Different multiple regressions models for estimating survival: use in a population-based series of colorectal cancer. Journal of Clinical Epidemiology 1992; 45:267-273. DOI: 10.1016/0895-4356(92)90086-3.
    • (1992) Journal of Clinical Epidemiology , vol.45 , pp. 267-273
    • Monnet, E.1    Boutron, M.C.2    Arveux, P.3    Milan, C.4    Faivre, J.5
  • 5
    • 33747586283 scopus 로고    scopus 로고
    • Multiple imputation methods for modeling relative survival data
    • DOI: 10.1002/sim.2289
    • Yu B, Tiwari RC. Multiple imputation methods for modeling relative survival data. Statistics in Medicine 2006; 25(17):2946-2955. DOI: 10.1002/sim.2289.
    • (2006) Statistics in Medicine , vol.25 , Issue.17 , pp. 2946-2955
    • Yu, B.1    Tiwari, R.C.2
  • 7
    • 0000345820 scopus 로고
    • Regression analysis of survival rates
    • Hakulinen T, Tenkanen L. Regression analysis of survival rates. Applied Statistics 1987; 36:309-317.
    • (1987) Applied Statistics , vol.36 , pp. 309-317
    • Hakulinen, T.1    Tenkanen, L.2
  • 8
    • 0025285232 scopus 로고
    • Relative survival and the estimation of net survival: elements for further discussion
    • Esteve J, Benhamou E, Croasdale M, Raymond L. Relative survival and the estimation of net survival: elements for further discussion. Statistics in Medicine 1990; 9:529-538.
    • (1990) Statistics in Medicine , vol.9 , pp. 529-538
    • Esteve, J.1    Benhamou, E.2    Croasdale, M.3    Raymond, L.4
  • 9
    • 0041924828 scopus 로고    scopus 로고
    • A relative survival regression model using B-spline functions to model non-proportional hazards
    • DOI: 10.1002/sim.1484
    • Giorgi R, Abrahamowicz M, Quantin C, Bolard P, Esteve J, Gouvernet J, Faivre J. A relative survival regression model using B-spline functions to model non-proportional hazards. Statistics in Medicine 2003; 22:3767-3784. DOI: 10.1002/sim.1484.
    • (2003) Statistics in Medicine , vol.22 , pp. 3767-3784
    • Giorgi, R.1    Abrahamowicz, M.2    Quantin, C.3    Bolard, P.4    Esteve, J.5    Gouvernet, J.6    Faivre, J.7
  • 10
    • 30944464784 scopus 로고    scopus 로고
    • Goodness of fit of relative survival models
    • Stare J, Pohar M, Henderson R. Goodness of fit of relative survival models. Statistics in Medicine 2005; 24(24):3911-3925.
    • (2005) Statistics in Medicine , vol.24 , Issue.24 , pp. 3911-3925
    • Stare, J.1    Pohar, M.2    Henderson, R.3
  • 11
    • 30944440022 scopus 로고    scopus 로고
    • Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects
    • Lambert PC, Smith LK, Jones DR, Botha JL. Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects. Statistics in Medicine 2005; 24(24):3871-3885.
    • (2005) Statistics in Medicine , vol.24 , Issue.24 , pp. 3871-3885
    • Lambert, P.C.1    Smith, L.K.2    Jones, D.R.3    Botha, J.L.4
  • 12
    • 34247635077 scopus 로고    scopus 로고
    • French network of cancer registries FRANCIM. An overall strategy based on regression models to estimate relative survival and model the effects of prognostic factors in cancer survival studies
    • Remontet L, Bossard N, Belot A, Esteve J. French network of cancer registries FRANCIM. An overall strategy based on regression models to estimate relative survival and model the effects of prognostic factors in cancer survival studies. Statistics in Medicine 2007; 26(10):2214-2228.
    • (2007) Statistics in Medicine , vol.26 , Issue.10 , pp. 2214-2228
    • Remontet, L.1    Bossard, N.2    Belot, A.3    Esteve, J.4
  • 13
    • 0004191471 scopus 로고
    • Comparability and quality control in cancer registration
    • International Agency for Research on Cancer, Lyon No. 19
    • Parking DM, Chen VW, Ferlay J, Galceran J, Storm HH, Whelan SL. Comparability and quality control in cancer registration. Technical Report No. 19, International Agency for Research on Cancer, Lyon, 1994.
    • (1994) Technical Report
    • Parking, D.M.1    Chen, V.W.2    Ferlay, J.3    Galceran, J.4    Storm, H.H.5    Whelan, S.L.6
  • 14
    • 4544384854 scopus 로고    scopus 로고
    • Standards and guidelines for cancer registration in Europe
    • International Agency for Research on Cancer, Lyon No. 40
    • Tyczynski JE, Démaret E, Parkin DM. Standards and guidelines for cancer registration in Europe. Technical Report No. 40, International Agency for Research on Cancer, Lyon, 2003.
    • (2003) Technical Report
    • Tyczynski, J.E.1    Démaret, E.2    Parkin, D.M.3
  • 15
    • 5044230088 scopus 로고    scopus 로고
    • European network of cancer registries. Monitoring stagespecific trends in melanoma incidence across Europe reveals the need for more complete information on diagnostic characteristics
    • de Vries E, Bray FI, Eggermont AM, Coebergh JW. European network of cancer registries. Monitoring stagespecific trends in melanoma incidence across Europe reveals the need for more complete information on diagnostic characteristics. European Journal of Cancer Prevention 2004; 13(5):387-395.
    • (2004) European Journal of Cancer Prevention , vol.13 , Issue.5 , pp. 387-395
    • de Vries, E.1    Bray, F.I.2    Eggermont, A.M.3    Coebergh, J.W.4
  • 17
    • 33846228439 scopus 로고    scopus 로고
    • Stage, grade and morphology of tumours of the colon and rectum recorded in the Oxford cancer registry, 1995-2003
    • DOI: 10.1038/sj.bjc.6603499
    • Green J, Watson J, Roche M, Beral V, Patnick J. Stage, grade and morphology of tumours of the colon and rectum recorded in the Oxford cancer registry, 1995-2003. British Journal of Cancer 2007; 96(1):140-142. DOI: 10.1038/sj.bjc.6603499.
    • (2007) British Journal of Cancer , vol.96 , Issue.1 , pp. 140-142
    • Green, J.1    Watson, J.2    Roche, M.3    Beral, V.4    Patnick, J.5
  • 19
    • 0004093524 scopus 로고    scopus 로고
    • Sage Publications Inc.: Beverley Hills, CA
    • Allison PD. Missing Data. Sage Publications Inc.: Beverley Hills, CA, 2001.
    • (2001) Missing Data
    • Allison, P.D.1
  • 22
    • 23044525261 scopus 로고    scopus 로고
    • Multiple imputation in practice: comparison of software packages for regression models with missing variables
    • Horton NJ, Lipsitz SR. Multiple imputation in practice: comparison of software packages for regression models with missing variables. The American Statistician 2001; 55(3):244-254.
    • (2001) he American Statistician , vol.55 , Issue.3 , pp. 244-254
    • Horton, N.J.1    Lipsitz, S.R.2
  • 23
    • 33846873244 scopus 로고    scopus 로고
    • Much ado about nothing: a comparison of missing data methods and software to fit incomplete data regression models
    • Horton NJ, Kleinman KP. Much ado about nothing: a comparison of missing data methods and software to fit incomplete data regression models. The American Statistician 2007; 61(1):79-90.
    • (2007) The American Statistician , vol.61 , Issue.1 , pp. 79-90
    • Horton, N.J.1    Kleinman, K.P.2
  • 24
    • 34250686456 scopus 로고    scopus 로고
    • Multiple imputation: review of theory, implementation and software
    • Harel O, Zhou XH. Multiple imputation: review of theory, implementation and software. Statistics in Medicine 2007; 26(16):3057-3077.
    • (2007) Statistics in Medicine , vol.26 , Issue.16 , pp. 3057-3077
    • Harel, O.1    Zhou, X.H.2
  • 26
    • 0031299909 scopus 로고    scopus 로고
    • Multiple imputation for the Cox proportional hazards model with missing covariates
    • Paik MC. Multiple imputation for the Cox proportional hazards model with missing covariates. Lifetime Data Analysis 1997; 3(3):289-298.
    • (1997) Lifetime Data Analysis , vol.3 , Issue.3 , pp. 289-298
    • Paik, M.C.1
  • 28
    • 0037220933 scopus 로고    scopus 로고
    • Multiple imputation of baseline data in the cardiovascular health study
    • Arnold AM, Kronmal RA. Multiple imputation of baseline data in the cardiovascular health study. American Journal of Epidemiology 2003; 157(1):74-84.
    • (2003) American Journal of Epidemiology , vol.157 , Issue.1 , pp. 74-84
    • Arnold, A.M.1    Kronmal, R.A.2
  • 30
    • 17644416379 scopus 로고    scopus 로고
    • RSurv: a function to perform relative survival analysis with S-PLUS or R.
    • DOI: 10.1016/j.cmpb.2005.01.001
    • Giorgi R, Payan J, Gouvernet J. RSurv: a function to perform relative survival analysis with S-PLUS or R. Computer Methods and Programs in Biomedicine 2005; 78:175-178. DOI: 10.1016/j.cmpb.2005.01.001.
    • (2005) Computer Methods and Programs in Biomedicine , vol.78 , pp. 175-178
    • Giorgi, R.1    Payan, J.2    Gouvernet, J.3
  • 32
    • 84877792900 scopus 로고    scopus 로고
    • Multiple imputation online 2007
    • Van Buuren S. Multiple imputation online 2007. Available online from http://www.multiple-imputation.com [accessed 29 August 2007].
    • Van Buuren, S.1
  • 38
    • 0033616909 scopus 로고    scopus 로고
    • Multiple imputation of missing blood pressure covariates in survival analysis
    • van Buuren S, Boshuizen HC, Knook DL. Multiple imputation of missing blood pressure covariates in survival analysis. Statistics in Medicine 1999; 18(6):681-694.
    • (1999) Statistics in Medicine , vol.18 , Issue.6 , pp. 681-694
    • van Buuren, S.1    Boshuizen, H.C.2    Knook, D.L.3
  • 40
    • 84855199947 scopus 로고    scopus 로고
    • R Development Core Team R., R Foundation for Statistical Computing, Vienna, Austria
    • R Development Core Team R. A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2007. Available online from http://www.R-project.org [accessed 29 August 2007].
    • (2007) A Language and Environment for Statistical Computing
  • 41
    • 0041856459 scopus 로고    scopus 로고
    • A generalization of the Weibull distribution with application to the analysis of survival data
    • DOI: 10.2307/2291583
    • Mudholkar GS, Srivastava DK, Kollia GD. A generalization of the Weibull distribution with application to the analysis of survival data. Journal of the American Statistical Association 1996; 91(436):1575-1583. DOI: 10.2307/2291583.
    • (1996) Journal of the American Statistical Association , vol.91 , Issue.436 , pp. 1575-1583
    • Mudholkar, G.S.1    Srivastava, D.K.2    Kollia, G.D.3
  • 43
    • 34147103921 scopus 로고    scopus 로고
    • Identifiability assumptions for missing covariate data in failure time regression models
    • DOI: 10.1093/biostatistics/kx1014
    • Rathouz PJ. Identifiability assumptions for missing covariate data in failure time regression models. Biostatistics 2007; 8(2):345-356. DOI: 10.1093/biostatistics/kx1014.
    • (2007) Biostatistics , vol.8 , Issue.2 , pp. 345-356
    • Rathouz, P.J.1
  • 44
    • 0034651977 scopus 로고    scopus 로고
    • Permutation tests for joinpoint regression with applications to cancer rates
    • Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Statistics in Medicine 2000; 19:335-351.
    • (2000) Statistics in Medicine , vol.19 , pp. 335-351
    • Kim, H.J.1    Fay, M.P.2    Feuer, E.J.3    Midthune, D.N.4
  • 46
    • 34347372013 scopus 로고    scopus 로고
    • A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome
    • Ambler G, Omar RZ, Royston P. A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome. Statistical Methods in Medical Research 2007; 16(3):277-298.
    • (2007) Statistical Methods in Medical Research , vol.16 , Issue.3 , pp. 277-298
    • Ambler, G.1    Omar, R.Z.2    Royston, P.3


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