HAZARD REGRESSION WITH PENALIZED SPLINE： THE SMOOTHING PARAMETER CHOICE AND ASYMPTOTICS
In this article, we use penalized spline to estimate the hazard function from a set of censored failure time data. A new approach to estimate the amount of smoothing is provided. Under regularity conditions we establish the consistency and the asymptotic normality of the penalized likelihood estimat...
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| Published in | Acta mathematica scientia Vol. 30; no. 5; pp. 1759 - 1768 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.09.2010
School of Mathematical Sciences,Beijing Normal University Laboratory of Mathematics and Complex Systems,Ministry of Education,Beijing 100875,China |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0252-9602 1572-9087 |
| DOI | 10.1016/S0252-9602(10)60169-5 |
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| Abstract | In this article, we use penalized spline to estimate the hazard function from a set of censored failure time data. A new approach to estimate the amount of smoothing is provided. Under regularity conditions we establish the consistency and the asymptotic normality of the penalized likelihood estimators. Numerical studies and an example are conducted to evaluate the performances of the new procedure. |
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| AbstractList | In this article, we use penalized spline to estimate the hazard function from a set of censored failure time data. A new approach to estimate the amount of smoothing is provided. Under regularity conditions we establish the consistency and the asymptotic normality of the penalized likelihood estimators. Numerical studies and an example are conducted to evaluate the performances of the new procedure. O1; In this article,we use penalized spline to estimate the hazard function from a set of censored failure time data.A new approach to estimate the amount of smoothing is provided.Under regularity conditions we establish the consistency and the asymptotic normality of the penalized likelihood estimators.Numerical studies and an example are conducted to evaluate the performances of the new procedure. |
| Author | 童行伟 胡涛 崔恒建 |
| AuthorAffiliation | School of Mathematical Sciences, Beijing Normal University Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing 100875, China |
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| Cites_doi | 10.1111/j.2517-6161.1972.tb00899.x 10.2307/2532989 10.1214/009053604000000256 10.2307/2531200 10.1198/016214502388618861 10.1111/1541-0420.00067 10.1002/sim.993 10.2307/2532779 10.1198/106186002862 10.2307/2291132 10.1111/j.2517-6161.1987.tb01688.x 10.2307/1390786 10.2307/2669843 10.1198/106186002853 10.2307/2531633 |
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| Keywords | asymptotic normality smoothing parameter choice 62G08 proportional hazards penalized spline |
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| References | Cai, Betensky (bib3) 2003; 59 Song, Liu (bib18) 2008; 28B Whittemore, Killer (bib16) 1986; 42 Betensky, Lindsay, Ryan, Wand (bib1) 2002; 21 Brumback, Rice (bib2) 1998; 93 Kooperberg, Stone, Trung (bib12) 1995; 90 Ibrahim, Chen, Sinha (bib10) 2001 Cox (bib5) 1972; 34 Kooperberg, Stone (bib11) 1992; 1 Ruppert (bib14) 2002; 11 Gray (bib8) 1990; 46 Cai, Hyndman, Wand (bib4) 2002; 11 Gray (bib9) 1994; 50 Yu, Ruppert (bib17) 2002; 97 Edmonton, Fleming, Decker, Malaysian, Jefferson, Web, Kilos (bib6) 1972; 63 Rosenberg (bib13) 1995; 51 Gentianellas (bib15) 1987; 49 Fan, Peng (bib7) 2004; 32 Song (10.1016/S0252-9602(10)60169-5_bib18) 2008; 28B Edmonton (10.1016/S0252-9602(10)60169-5_bib6) 1972; 63 Rosenberg (10.1016/S0252-9602(10)60169-5_bib13) 1995; 51 Ibrahim (10.1016/S0252-9602(10)60169-5_bib10) 2001 Cai (10.1016/S0252-9602(10)60169-5_bib4) 2002; 11 Fan (10.1016/S0252-9602(10)60169-5_bib7) 2004; 32 Gray (10.1016/S0252-9602(10)60169-5_bib9) 1994; 50 Gray (10.1016/S0252-9602(10)60169-5_bib8) 1990; 46 Kooperberg (10.1016/S0252-9602(10)60169-5_bib11) 1992; 1 Gentianellas (10.1016/S0252-9602(10)60169-5_bib15) 1987; 49 Whittemore (10.1016/S0252-9602(10)60169-5_bib16) 1986; 42 Cai (10.1016/S0252-9602(10)60169-5_bib3) 2003; 59 Betensky (10.1016/S0252-9602(10)60169-5_bib1) 2002; 21 Kooperberg (10.1016/S0252-9602(10)60169-5_bib12) 1995; 90 Yu (10.1016/S0252-9602(10)60169-5_bib17) 2002; 97 Brumback (10.1016/S0252-9602(10)60169-5_bib2) 1998; 93 Ruppert (10.1016/S0252-9602(10)60169-5_bib14) 2002; 11 Cox (10.1016/S0252-9602(10)60169-5_bib5) 1972; 34 |
| References_xml | – volume: 93 start-page: 991 year: 1998 end-page: 994 ident: bib2 article-title: Reply to comments on “Smoothing spline models for the analysis of nested and crossed samples of curves” publication-title: Journal of he American Statistical Association – volume: 59 start-page: 570 year: 2003 end-page: 579 ident: bib3 article-title: Hazard regression for interval-censored data with penalized spline publication-title: Biometrics – volume: 90 start-page: 78 year: 1995 end-page: 94 ident: bib12 article-title: Hazard regression publication-title: Journal of the American Statistical Association – volume: 11 start-page: 784 year: 2002 end-page: 798 ident: bib4 article-title: Mixed model-based hazard estimation publication-title: Journal of Computational and Graphical Statistics – volume: 46 start-page: 93 year: 1990 end-page: 102 ident: bib8 article-title: Some diagnostic methods for cox regression models through hazard smoothing publication-title: Biometrics – volume: 32 start-page: 928 year: 2004 end-page: 961 ident: bib7 article-title: On non-concave penalized likelihood with diverging number of parameters publication-title: The Annals of Statistics – volume: 51 start-page: 874 year: 1995 end-page: 887 ident: bib13 article-title: Hazard function estimation using P-splines publication-title: Biometrics – volume: 28B start-page: 501 year: 2008 end-page: 512 ident: bib18 article-title: A law of iterated logarithm for the MLE in a random censoring model with incomplete information publication-title: Acta Mathematica Scientia – volume: 21 start-page: 263 year: 2002 end-page: 275 ident: bib1 article-title: A local likelihood proportional hazards model for interval censored data publication-title: Statistics in Medicine – volume: 11 start-page: 735 year: 2002 end-page: 757 ident: bib14 article-title: Selecting the number of knots for penalized splines publication-title: Journal of Computational and Graphical Statistics – year: 2001 ident: bib10 publication-title: Bayesian Survival Analysis – volume: 42 start-page: 495 year: 1986 end-page: 506 ident: bib16 article-title: Survival estimation using splines publication-title: Biometrics – volume: 1 start-page: 301 year: 1992 end-page: 328 ident: bib11 article-title: Logspline density estimation for censored data publication-title: Journal of Computational and Graphical Statistics – volume: 34 start-page: 187 year: 1972 end-page: 220 ident: bib5 article-title: Regression models and life tables (with discussion) publication-title: Journal of the Royal Statistics Society, Series B – volume: 63 start-page: 241 year: 1972 end-page: 247 ident: bib6 article-title: Different chemotherapeutic sensitivities and host factors affecting prognosis in advanced ovarian carcinoma vs. Minimal Residual Disease publication-title: Cancer Treatment Reports – volume: 50 start-page: 640 year: 1994 end-page: 652 ident: bib9 article-title: Spline-Based tests in survival analysis publication-title: Biometrics – volume: 97 start-page: 1042 year: 2002 end-page: 1054 ident: bib17 article-title: Penalized spline estimation for partially linear single index models publication-title: Journal of the American Statistical Association – volume: 49 start-page: 170 year: 1987 end-page: 174 ident: bib15 article-title: Penalized likelihood estimation of hazard and intensity functions publication-title: Journal of the Royal Statistical Society, Series B – volume: 28B start-page: 501 issue: 3 year: 2008 ident: 10.1016/S0252-9602(10)60169-5_bib18 article-title: A law of iterated logarithm for the MLE in a random censoring model with incomplete information publication-title: Acta Mathematica Scientia – volume: 34 start-page: 187 year: 1972 ident: 10.1016/S0252-9602(10)60169-5_bib5 article-title: Regression models and life tables (with discussion) publication-title: Journal of the Royal Statistics Society, Series B doi: 10.1111/j.2517-6161.1972.tb00899.x – volume: 51 start-page: 874 year: 1995 ident: 10.1016/S0252-9602(10)60169-5_bib13 article-title: Hazard function estimation using P-splines publication-title: Biometrics doi: 10.2307/2532989 – volume: 32 start-page: 928 year: 2004 ident: 10.1016/S0252-9602(10)60169-5_bib7 article-title: On non-concave penalized likelihood with diverging number of parameters publication-title: The Annals of Statistics doi: 10.1214/009053604000000256 – volume: 42 start-page: 495 year: 1986 ident: 10.1016/S0252-9602(10)60169-5_bib16 article-title: Survival estimation using splines publication-title: Biometrics doi: 10.2307/2531200 – volume: 63 start-page: 241 year: 1972 ident: 10.1016/S0252-9602(10)60169-5_bib6 article-title: Different chemotherapeutic sensitivities and host factors affecting prognosis in advanced ovarian carcinoma vs. Minimal Residual Disease publication-title: Cancer Treatment Reports – volume: 97 start-page: 1042 year: 2002 ident: 10.1016/S0252-9602(10)60169-5_bib17 article-title: Penalized spline estimation for partially linear single index models publication-title: Journal of the American Statistical Association doi: 10.1198/016214502388618861 – volume: 59 start-page: 570 year: 2003 ident: 10.1016/S0252-9602(10)60169-5_bib3 article-title: Hazard regression for interval-censored data with penalized spline publication-title: Biometrics doi: 10.1111/1541-0420.00067 – volume: 21 start-page: 263 year: 2002 ident: 10.1016/S0252-9602(10)60169-5_bib1 article-title: A local likelihood proportional hazards model for interval censored data publication-title: Statistics in Medicine doi: 10.1002/sim.993 – volume: 50 start-page: 640 year: 1994 ident: 10.1016/S0252-9602(10)60169-5_bib9 article-title: Spline-Based tests in survival analysis publication-title: Biometrics doi: 10.2307/2532779 – year: 2001 ident: 10.1016/S0252-9602(10)60169-5_bib10 – volume: 11 start-page: 784 year: 2002 ident: 10.1016/S0252-9602(10)60169-5_bib4 article-title: Mixed model-based hazard estimation publication-title: Journal of Computational and Graphical Statistics doi: 10.1198/106186002862 – volume: 90 start-page: 78 year: 1995 ident: 10.1016/S0252-9602(10)60169-5_bib12 article-title: Hazard regression publication-title: Journal of the American Statistical Association doi: 10.2307/2291132 – volume: 49 start-page: 170 year: 1987 ident: 10.1016/S0252-9602(10)60169-5_bib15 article-title: Penalized likelihood estimation of hazard and intensity functions publication-title: Journal of the Royal Statistical Society, Series B doi: 10.1111/j.2517-6161.1987.tb01688.x – volume: 1 start-page: 301 year: 1992 ident: 10.1016/S0252-9602(10)60169-5_bib11 article-title: Logspline density estimation for censored data publication-title: Journal of Computational and Graphical Statistics doi: 10.2307/1390786 – volume: 93 start-page: 991 year: 1998 ident: 10.1016/S0252-9602(10)60169-5_bib2 article-title: Reply to comments on “Smoothing spline models for the analysis of nested and crossed samples of curves” publication-title: Journal of he American Statistical Association doi: 10.2307/2669843 – volume: 11 start-page: 735 year: 2002 ident: 10.1016/S0252-9602(10)60169-5_bib14 article-title: Selecting the number of knots for penalized splines publication-title: Journal of Computational and Graphical Statistics doi: 10.1198/106186002853 – volume: 46 start-page: 93 year: 1990 ident: 10.1016/S0252-9602(10)60169-5_bib8 article-title: Some diagnostic methods for cox regression models through hazard smoothing publication-title: Biometrics doi: 10.2307/2531633 |
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| SubjectTerms | 62G08 asymptotic normality Asymptotic properties Consistency Estimates Hazards Mathematical analysis Mathematical models penalized spline proportional hazards Regression Smoothing smoothing parameter choice Splines 估计量 参数选择 正则条件 风险函数 |
| Title | HAZARD REGRESSION WITH PENALIZED SPLINE： THE SMOOTHING PARAMETER CHOICE AND ASYMPTOTICS |
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