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Rejoinder for “Meta‐analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling”

dc.contributor.authorGhosh, Debashisen_US
dc.contributor.authorTaylor, Jeremy M. G.en_US
dc.contributor.authorSargent, Daniel J.en_US
dc.date.accessioned2012-04-04T18:43:52Z
dc.date.available2013-05-01T17:24:44Zen_US
dc.date.issued2012-03en_US
dc.identifier.citationGhosh, Debashis; Taylor, Jeremy M. G.; Sargent, Daniel J. (2012). "Rejoinder for “Meta‐analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling”." Biometrics 68(1). <http://hdl.handle.net/2027.42/90587>en_US
dc.identifier.issn0006-341Xen_US
dc.identifier.issn1541-0420en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/90587
dc.publisherBlackwell Publishing Incen_US
dc.publisherWiley Periodicals, Inc.en_US
dc.titleRejoinder for “Meta‐analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling”en_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, U.S.A.en_US
dc.contributor.affiliationotherDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, U.S.A.en_US
dc.contributor.affiliationotherDepartments of Statistics and Public Health Sciences, Penn State University, University Park, Pennsylvania 16802, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/90587/1/j.1541-0420.2011.01638.x.pdf
dc.identifier.doi10.1111/j.1541-0420.2011.01638.xen_US
dc.identifier.sourceBiometricsen_US
dc.identifier.citedreferenceAbbing, J. H. and van den Berg, G. J. ( 2003 ). The nonparametric identification of the treatment effects in duration models. Econometrica 71, 1491 – 1517.en_US
dc.identifier.citedreferenceBurzykowski, T., Molenberghs, G., and Buyse, M. ( 2005 ). The Evaluation of Surrogate Endpoints. New York: Springer‐Verlag.en_US
dc.identifier.citedreferenceFix, E. and Neyman, J. ( 1951 ). A simple stochastic model of recovery, relapse, death and loss of patients. Human Biology 23, 205 – 241.en_US
dc.identifier.citedreferenceFrangakis, C. E. and Rubin, D. B. ( 2002 ). Principal stratification in causal inference. Biometrics 58, 21 – 29.en_US
dc.identifier.citedreferenceGhosh, D. ( 2009 ). On assessing surrogacy in a single‐trial setting using a semi‐competing risks paradigm. Biometrics 65, 521 – 529.en_US
dc.identifier.citedreferenceGhosh, D., Elliott, M. R., and Taylor, J. M. ( 2010 ). Links between surrogate endpoints and endogeneity. Statistics in Medicine 29, 2869 – 2879.en_US
dc.identifier.citedreferenceGilbert, P. B. and Hudgens, M. G. ( 2008 ). Evaluating causal effect predictiveness of candidate surrogate end‐points. Biometrics 65, 1223 – 1232.en_US
dc.identifier.citedreferenceLi, B. ( 1993 ). A deviance function for the quasi likelihood method. Biometrika 80, 741 – 753.en_US
dc.identifier.citedreferenceLi, Y., Taylor, J. M. G., and Elliott, M. R. ( 2010 ). A Bayesian approach to surrogacy assessment using principal stratification in clinical trials. Biometrics 66, 523 – 531.en_US
dc.identifier.citedreferenceNagelkerke, N. ( 1991 ). A note on a general definition of the coefficient of determination. Biometrika 78, 691 – 692.en_US
dc.identifier.citedreferencePearl, J. ( 2001 ). Causality: Models, Reasoning and Inference. Cambridge: Cambridge University Press.en_US
dc.identifier.citedreferenceXu, J., Kalbfleisch, J. D., and Tai, B. ( 2010 ). Statistical analysis of illness‐death processes and semicompeting risks data. Biometrics 66, 716 – 725.en_US
dc.identifier.citedreferenceYing, Z., Jung, S. H., and Wei, L. J. ( 1995 ). Survival analysis with median regression models. Journal of the American Statistical Association 90, 178 – 184.en_US
dc.identifier.citedreferenceZhang, J. L. and Rubin, D. B. ( 2003 ). Estimation of causal effects via principal stratification when some outcomes are truncated by “death”. Journal of Educational and Behavioral Statistics 28, 353 – 368.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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