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Discussions

dc.contributor.authorLawless, Jerald F.en_US
dc.contributor.authorKalbfleisch, John D.en_US
dc.date.accessioned2015-07-01T20:56:38Z
dc.date.available2015-07-01T20:56:38Z
dc.date.issued2011-08en_US
dc.identifier.citationLawless, Jerald F.; Kalbfleisch, John D. (2011). "Discussions." International Statistical Review 79(2).en_US
dc.identifier.issn0306-7734en_US
dc.identifier.issn1751-5823en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/111979
dc.publisherBlackwell Publishing Ltden_US
dc.publisherWiley Periodicals, Inc.en_US
dc.titleDiscussionsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelStatistics (Mathematical)en_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics and Statistics, University of Michigan, USA
E‐mail: jdkalbfl@umich.eduen_US
dc.contributor.affiliationotherDepartment of Statistics and Actuarial Science, University of Waterloo, Canada
E‐mail: jlawless@uwaterloo.caen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/111979/1/j.1751-5823.2011.00145.x.pdf
dc.identifier.doi10.1111/j.1751-5823.2011.00145.xen_US
dc.identifier.sourceInternational Statistical Reviewen_US
dc.identifier.citedreferenceZhao, Y., Lawless J.F. & McLeish, D.L. ( 2009 ). Likelihood methods for regression models with expensive variables missing by design. Biom. J., 51, 1 – 14.en_US
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dc.identifier.citedreferenceChen, H.Y. & Little, R.J.A. ( 1999 ). Proportional hazards with missing covariates. J. Amer. Statist. Assoc., 94, 896 – 908.en_US
dc.identifier.citedreferenceKalbfleisch, J.D. & Lawless, J.F. ( 1988 ). Likelihood analysis of multistate models for disease incidence and mortality. Statist. Med., 1, 149 – 160.en_US
dc.identifier.citedreferenceKang, J.D.Y. & Schafer, J.L. ( 2007 ). Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data. Statist. Sci., 22, 523 – 539.en_US
dc.identifier.citedreferenceLawless, J.F., Kalbfleisch, J.D. & Wild, C.J. ( 1999 ). Semiparametric methods for response selective and missing data problems in regression. J. R. Stat. Soc. B, 61, 413 – 438.en_US
dc.identifier.citedreferenceLittle, R.J.A. ( 2004 ). To model or not to model? Competing modes of inference for finite population sampling. J. Amer. Statist. Assoc., 99, 546 – 556.en_US
dc.identifier.citedreferenceMcLeish, D.L. & Struthers, C.A. ( 2006 ). Estimation of regression parameters in missing data problems. Canad. J. Statist., 34, 233 – 259.en_US
dc.identifier.citedreferenceRobins, J., Sued, M., Lei‐Gomez, Q. & Rotnitzky, A. ( 2007 ). Comment: performance of double‐robust estimators when “inverse probability” weights are highly variable. Statist. Sci., 22, 544 – 559.en_US
dc.identifier.citedreferenceSamuelsen, S.O., Anestad, H. & Skrondal, A. ( 2007 ). Stratified case‐cohort analysis of general cohort sampling designs. Scand. J. Statist., 34, 103 – 119.en_US
dc.identifier.citedreferenceZhang, L.‐C. ( 2000 ). Post‐stratification and calibration ‐ a synthesis. Amer. Statist., 54, 178 – 184.en_US
dc.identifier.citedreferenceZhang, Z. & Rockette, H.E. ( 2005 ). On maximum likelihood estimation in parametric regression with missing covariates. J. Statist. Plann. Inference, 134, 206 – 223.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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