View Item 

Show simple item record

A pairwise likelihood augmented Cox estimator for left‐truncated data
dc.contributor.authorWu, Fan
dc.contributor.authorKim, Sehee
dc.contributor.authorQin, Jing
dc.contributor.authorSaran, Rajiv
dc.contributor.authorLi, Yi
dc.date.accessioned2018-04-04T18:48:20Z
dc.date.available2019-05-13T14:45:25Zen
dc.date.issued2018-03
dc.identifier.citationWu, Fan; Kim, Sehee; Qin, Jing; Saran, Rajiv; Li, Yi (2018). "A pairwise likelihood augmented Cox estimator for left‐truncated data." Biometrics 74(1): 100-108.
dc.identifier.issn0006-341X
dc.identifier.issn1541-0420
dc.identifier.urihttps://hdl.handle.net/2027.42/142901
dc.publisherWiley Periodicals, Inc.
dc.subject.otherChronic kidney disease
dc.subject.otherEmpirical process
dc.subject.otherSelf‐consistency
dc.subject.otherU‐process
dc.subject.otherComposite likelihood
dc.titleA pairwise likelihood augmented Cox estimator for left‐truncated data
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMathematics
dc.subject.hlbtoplevelScience
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/142901/1/biom12746.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/142901/2/biom12746-sup-0001-SuppData-S1.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/142901/3/biom12746_am.pdf
dc.identifier.doi10.1111/biom.12746
dc.identifier.sourceBiometrics
dc.identifier.citedreferenceSen, P. K. ( 1960 ). On some convergence properties of U‐statistics. Calcutta Statistical Association Bulletin 10, 18.
dc.identifier.citedreferenceHuang, C.‐Y. and Qin, J. ( 2012 ). Composite partial likelihood estimation under length‐biased sampling, with application to a prevalent cohort study of dementia. Journal of the American Statistical Association 107, 946 – 957.
dc.identifier.citedreferenceHuang, C.‐Y. and Qin, J. ( 2013 ). Semiparametric estimation for the additive hazards model with left‐truncated and right‐censored data. Biometrika 100, 877 – 888.
dc.identifier.citedreferenceHuang, C.‐Y., Qin, J., and Follmann, D. A. ( 2012 ). A maximum pseudo‐profile likelihood estimator for the Cox model under length‐biased sampling. Biometrika 99, 199 – 210.
dc.identifier.citedreferenceJung, S.‐H. ( 1999 ). Rank tests for matched survival data. Lifetime Data Analysis 5, 67 – 79.
dc.identifier.citedreferenceKalbfleisch, J. and Lawless, J. ( 1991 ). Regression models for right truncated data with applications to AIDS incubation times and reporting lags. Statistica Sinica 1, 19 – 32.
dc.identifier.citedreferenceLiang, K.‐Y. and Qin, J. ( 2000 ). Regression analysis under non‐standard situations: a pairwise pseudolikelihood approach. Journal of the Royal Statistical Society, Series B (Statistical Methodology) 62, 773 – 786.
dc.identifier.citedreferenceLiu, H., Ning, J., Qin, J., and Shen, Y. ( 2016 ). Semiparametric maximum likelihood inference for truncated or biased‐sampling data. Statistica Sinica 26, 1087 – 1115.
dc.identifier.citedreferenceMandel, M. and Betensky, R. A. ( 2007 ). Testing goodness of fit of a uniform truncation model. Biometrics 63, 405 – 412.
dc.identifier.citedreferenceMurphy, S., Rossini, A., and van der Vaart, A. W. ( 1997 ). Maximum likelihood estimation in the proportional odds model. Journal of the American Statistical Association 92, 968 – 976.
dc.identifier.citedreferenceNing, J., Qin, J., and Shen, Y. ( 2014 ). Semiparametric accelerated failure time model for length‐biased data with application to dementia study. Statistica Sinica 24, 313 – 333.
dc.identifier.citedreferencePerlman, R. L., Kiser, M., Finkelstein, F., Eisele, G., Roys, E., Liu, L., et al. ( 2003 ). Renal Research Institute symposium: The longitudinal chronic kidney disease study: A prospective cohort study of predialysis renal failure. Seminars in Dialysis 16, 418 – 423.
dc.identifier.citedreferenceQin, J. and Liang, K. ( 1999 ). Generalized odds ratio model and pairwise conditional likelihood.Technical Report, Johns Hopkins University, Baltimore, MD.
dc.identifier.citedreferenceQin, J., Ning, J., Liu, H., and Shen, Y. ( 2011 ). Maximum likelihood estimations and EM algorithms with length‐biased data. Journal of the American Statistical Association 106, 1434 – 1449.
dc.identifier.citedreferenceQin, J. and Shen, Y. ( 2010 ). Statistical methods for analyzing right‐censored length‐biased data under Cox model. Biometrics 66, 382 – 392.
dc.identifier.citedreferenceShen, Y., Ning, J., and Qin, J. ( 2017 ). Nonparametric and semiparametric regression estimation for length‐biased survival data. Lifetime Data Analysis 23, 3 – 24.
dc.identifier.citedreferencevan der Vaart, A. W. ( 2000 ). Asymptotic Statistics.New York: Cambridge University Press.
dc.identifier.citedreferencevan der Vaart, A. W. and Wellner, J. A. ( 1996 ). Weak Convergence and Empirical Processes. New York, NY: Springer.
dc.identifier.citedreferenceVardi, Y. ( 1989 ). Multiplicative censoring, renewal processes, deconvolution and decreasing density: Nonparametric estimation. Biometrika 76, 751 – 761.
dc.identifier.citedreferenceVarin, C., Reid, N., and Firth, D. ( 2011 ). An overview of composite likelihood methods. Statistica Sinica 21, 5 – 42.
dc.identifier.citedreferenceVarin, C. and Vidoni, P. ( 2005 ). A note on composite likelihood inference and model selection. Biometrika 92, 519 – 528.
dc.identifier.citedreferenceWang, M.‐C., Brookmeyer, R., and Jewell, N. P. ( 1993 ). Statistical models for prevalent cohort data. Biometrics 49, 1 – 11.
dc.identifier.citedreferenceZeng, D. and Lin, D. ( 2006 ). Efficient estimation of semiparametric transformation models for counting processes. Biometrika 93, 627 – 640.
dc.identifier.citedreferenceAndersen, P. K. and Gill, R. D. ( 1982 ). Cox’s regression model for counting processes: A large sample study. The Annals of Statistics 10, 1100 – 1120.
dc.identifier.citedreferenceCox, D. R. ( 1972 ). Regression models and life tables. Journal of the Royal Statistical Society, Series B (Statistical Methodology) 34, 187 – 220.
dc.identifier.citedreferenceCox, D. R. ( 1975 ). Partial likelihood. Biometrika 62, 269 – 276.
dc.identifier.citedreferenceDe la Pe na, V. and Giné, E. ( 1999 ). Decoupling: From Dependence to Independence.New York, NY: Springer.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
biom12746.pdf
Size:
226.2KB
Format:
PDF
View/Open
Name:
biom12746-sup-0001-SuppData-S1.pdf
Size:
429.7KB
Format:
PDF
View/Open
Name:
biom12746_am.pdf
Size:
454.2KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.