المؤلفون: Li, Ker-Chau, Wang, Jane-Ling, Chen, Chun-Houh

المصدر: The Annals of Statistics, 1999 Feb 01. 27(1), 1-23.

الوصول الحر: https://www.jstor.org/stable/120115Test

المؤلفون: Li, Yi, Dicker, Lee, Zhao, Sihai Dave

المصدر: Statistica Sinica, 2014 Jan 01. 24(1), 251-268.

الوصول الحر: https://www.jstor.org/stable/26432542Test

المؤلفون: Nan, Bin, Kalbfleisch, John D., Yu, Menggang

المصدر: The Annals of Statistics, 2009 Oct 01. 37(5A), 2351-2376.

الوصول الحر: https://www.jstor.org/stable/30243708Test

المؤلفون: Eric V. Slud A, Filia Vonta B

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://www.math.umd.edu/~evs/myr.html/JSPI05art.pdfTest.

مصطلحات موضوعية: Censored linear regression, Density estimation, Frailty model, Information bound, Least-favorable submodel, Profile likelihood, Semiparametric efficiency, Transformation model

وصف الملف: application/pdf

العلاقة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.5041Test; http://www.math.umd.edu/~evs/myr.html/JSPI05art.pdfTest

الإتاحة: http://www.math.umd.edu/~evs/myr.html/JSPI05art.pdfTest

المؤلفون: Ding, Ying, Nan, Bin

مصطلحات موضوعية: Gehan weights, mean survival time, unbounded covariate support, empirical process theory, censored linear regression, Statistics (Mathematical), Science

وصف الملف: application/pdf

العلاقة: Ding, Ying; Nan, Bin (2015). "Estimating Mean Survival Time: When is it Possible?." Scandinavian Journal of Statistics 42(2): 397-413.; https://hdl.handle.net/2027.42/111162Test; Scandinavian Journal of Statistics; Susarla V. & Van Ryzin J. ( 1980 ). Large sample theory for an estimator of the mean survival time from censored samples. Ann. Stat. 8, 1002 – 1016.; Lai T. L. & Ying Z. ( 1988 ). Stochastic integrals of empirical‐type processes with applications to censored regression. J. Multivariate Anal. 27, 334 – 358.; Lai T. L. & Ying Z. ( 1991 ). Large sample theory of a modified Buckley‐James estimator for regression analysis with censored data. Ann. Stat. 10, 1370 – 1402.; Lin D. Y., Robins J. M. & Wei L. J. ( 1996 ). Comparing two failure time distributions in the presence of dependent censoring. Biometrika 83, 381 – 393.; Lin D. Y., Wei L. J. & Ying Z. ( 1993 ). Checking the Cox model with cumulative sums of martingale‐based residuals. Biometrika 80, 557 – 572.; Lin D. Y., Wei L. J. & Ying Z. ( 1998 ). Accelerated failure time models for counting processes. Biometrika 85, 605 – 618.; Nan B., Kalbfleisch J. D. & Yu M. ( 2009 ). Asymptotic theory for the semiparametric accelerated failure time model with missing data. Ann. Stat. 37, 2351 – 2376.; Paltiel A. D., Freedberg K. A., Scott C. A., Schackman B. R., Losina E., Wang B., Seage I. G. R., Sloan C. E., Sax P. E. & Walensky R. P. ( 2009 ). HIV preexposure prophylaxis in the United States: impact on lifetime infection risk, clinical outcomes, and cost‐effectiveness. Clin. Infect. Dis. 48, 806 – 815.; Prentice R. L. ( 1978 ). Linear rank tests with right censored data. Biometrika 65, 167 – 179.; Ritov Y. ( 1990 ). Estimation in a linear regression model with censored data. Ann. Stat. 18, 303 – 328.; Schneider H. & Weissfeld L. ( 1986 ). Estimation in linear models with censored data. Biometrika 73, 741 – 745.; Stute W. & Wang J. L. ( 1993 ). The strong law under random censorship. Ann. Stat. 21, 1591 – 1607.; Susarla V., Tsai W. Y. & Van Ryzin J. ( 1984 ). A Buckley‐James‐type estimator for the mean with censored data. Biometrika 71, 624 – 625.; Tsiatis A. A. ( 1990 ). Estimating regresion parameters using linear rank tests for censored data. Ann. Stat. 18, 354 – 372.; van der Vaart A. W. & Wellner J. A. ( 1996 ). Weak convergence and empirical processes, Springer, New York.; Wang S., Nan B., Zhu J. & Beer D. G. ( 2008 ). Doubly penalized Buckley‐James method for survival data with high‐dimensional covariates. Biometrics 64, 132 – 140.; Wei L. J., Ying Z. & Lin D. Y. ( 1990 ). Linear regression analysis of censored survival data based on rank tests. Biometrika 77, 845 – 851.; Ying Z. ( 1993 ). A large sample study of rank estimation for censored regression data. Ann. Stat. 21, 76 – 99.; Yu M. G. & Nan B. ( 2006 ). A hybrid Newton‐type method for censored survival data using double weights in linear models. Lifetime Data Anal. 12, 345 – 364.; Zeng D. & Lin D. Y. ( 2007 ). Efficient estimation for the accelerated failure time model. J. Am. Stat. Assoc. 102, 1387 – 1396.; Zhao Y., Zeng D., Socinski M. A. & Kosorok M. R. ( 2011 ). Reinforcement learning strategies for clinical trials in non‐small cell lung cancer. Biometrics 67, 1422 – 1433.; Buckley J. & James I. ( 1979 ). Linear regression with censored data. Biometrika 66, 429 – 436.; Cox D. R. ( 1972 ). Regression models and lifetables. J. R. Stat. Soc. Ser. B 34, 187 – 220.; Cox D. R. & Oakes D. ( 1984 ). Analysis of survival data. CRC Press.; Ding Y. ( 2010 ). Some new insights about the accelerated failure time model, Ph.D. Thesis, Biostatistics, University of Michigan.; Ding Y. & Nan B. ( 2011 ). A sieve M‐theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data. Ann. Stat. 39, 3032 – 3061.; Etzioni R. D., Feuer E. J., Sullivan S. D., Lin D. Y., Hu C. & Ramsey S. D. ( 1999 ). On the use of survival analysis techniques to estimate medical care costs. J. Health. Econ. 18, 365 – 380.; Fleming T. R. & Harrington D. P. ( 1991 ). Counting processes and survival analysis. Wiley, New York.; Fygenson M. & Ritov Y. ( 1994 ). Monotone estimating equations for censored data. Ann. Stat. 22, 732 – 746.; Heller G. & Simonoff J. S. ( 1990 ). A comparison of estimators for regression with a censored response variable. Biometrika 77, 515 – 520.; Jin Z., Lin D. Y., Wei L. J. & Ying Z. ( 2003 ). Rank‐based inference for the accelerated failure time model. Biometrika 90, 341 – 353.; Jin Z., Lin D. Y. & Ying Z. ( 2006 ). On least‐squares regression with censored data. Biometrika 93, 147 – 161.; Kalbfleisch J. D. & Prentice R. L. ( 2002 ). The statistical analysis of failure time data, ( 2nd edn )., Wiley, Hoboken, NJ.

الإتاحة: https://doi.org/10.1111/sjos.12112Test
https://hdl.handle.net/2027.42/111162Test

المؤلفون: Li, Yi, Dicker, Lee, Zhao, Sihai Dave

المصدر: Harvard University Biostatistics Working Paper Series

مصطلحات موضوعية: Adaptive Dantzig variable selector, Censored linear regression, Buckley-James imputation, Model selection consistency, Asymptotic normality, Microarrays, Statistical Methodology, Statistical Theory, Survival Analysis

وصف الملف: application/pdf

العلاقة: https://biostats.bepress.com/harvardbiostat/paper102Test; https://biostats.bepress.com/cgi/viewcontent.cgi?article=1109&context=harvardbiostatTest

الإتاحة: https://biostats.bepress.com/harvardbiostat/paper102Test
https://biostats.bepress.com/cgi/viewcontent.cgi?article=1109&context=harvardbiostatTest

المؤلفون: Leon, Larry, Cai, Tianxi, Wei, L. J.

المصدر: Harvard University Biostatistics Working Paper Series

مصطلحات موضوعية: Censored linear regression, Partial linear model, Resampling method, Rank estimation, Numerical Analysis and Computation, Statistical Methodology, Statistical Models, Statistical Theory, Survival Analysis, stat

العلاقة: https://biostats.bepress.com/harvardbiostat/paper20Test

الإتاحة: https://biostats.bepress.com/harvardbiostat/paper20Test

المؤلفون: Nan, Bin, Yu, Menggang, Kalbfleisch, Jack

المصدر: The University of Michigan Department of Biostatistics Working Paper Series

مصطلحات موضوعية: Case-cohort design, Censored linear regression, Counting processes, Martin-gales, Rank statistic, Design of Experiments and Sample Surveys, Statistical Methodology, Statistical Models, Statistical Theory, Survival Analysis, stat, demo

العلاقة: https://biostats.bepress.com/umichbiostat/paper45Test

الإتاحة: https://biostats.bepress.com/umichbiostat/paper45Test

المؤلفون: Yu, Menggang, Nan, Bin

المصدر: The University of Michigan Department of Biostatistics Working Paper Series

مصطلحات موضوعية: Case-cohort design, Censored linear regression, Gehan-type weights, Linear Programming, Monotone estimating function, Newton-type method, Epidemiology, Numerical Analysis and Computation, Statistical Models, Survival Analysis, stat, demo

العلاقة: https://biostats.bepress.com/umichbiostat/paper52Test

الإتاحة: https://biostats.bepress.com/umichbiostat/paper52Test

المؤلفون: Qin, Gengsheng, Jing, Bing Yi

مصطلحات موضوعية: Censored linear regression, Empirical likelihood, Normal approximation

العلاقة: http://repository.ust.hk/ir/Record/1783.1-23932Test; Scandinavian journal of statistics, v. 28, (4), 2001, DEC, p. 661-673; http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0303-6898&rft.volume=28&rft.issue=4&rft.date=2001&rft.spage=661&rft.epage=673&rft.aulast=Qin&rft.aufirst=GS&rft.atitle=Empirical+likelihood+forTest+censored+linear+regression; http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000173014200006Test; http://www.scopus.com/record/display.url?eid=2-s2.0-0035647954&origin=inwardTest

الإتاحة: http://repository.ust.hk/ir/Record/1783.1-23932Test
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0303-6898&rft.volume=28&rft.issue=4&rft.date=2001&rft.spage=661&rft.epage=673&rft.aulast=Qin&rft.aufirst=GS&rft.atitle=Empirical+likelihood+forTest+censored+linear+regression
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000173014200006Test
http://www.scopus.com/record/display.url?eid=2-s2.0-0035647954&origin=inwardTest