Local linear estimation of concordance probability with application to covariate effects models on association for bivariate failure-time data
| LEADER | caa a22 4500 | ||
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| 001 | 605476004 | ||
| 003 | CHVBK | ||
| 005 | 20210128100354.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s10985-013-9286-0 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10985-013-9286-0 | ||
| 245 | 0 | 0 | |a Local linear estimation of concordance probability with application to covariate effects models on association for bivariate failure-time data |h [Elektronische Daten] |c [Aidong Ding, Jin-Jian Hsieh, Weijing Wang] |
| 520 | 3 | |a Bivariate survival analysis has wide applications. In the presence of covariates, most literature focuses on studying their effects on the marginal distributions. However covariates can also affect the association between the two variables. In this article we consider the latter issue by proposing a nonstandard local linear estimator for the concordance probability as a function of covariates. Under the Clayton copula, the conditional concordance probability has a simple one-to-one correspondence with the copula parameter for different data structures including those subject to independent or dependent censoring and dependent truncation. The proposed method can be used to study how covariates affect the Clayton association parameter without specifying marginal regression models. Asymptotic properties of the proposed estimators are derived and their finite-sample performances are examined via simulations. Finally, for illustration, we apply the proposed method to analyze a bone marrow transplant data set. | |
| 540 | |a Springer Science+Business Media New York, 2013 | ||
| 690 | 7 | |a Multivariate local polynomial regression |2 nationallicence | |
| 690 | 7 | |a Clayton copula |2 nationallicence | |
| 690 | 7 | |a Non-informative missing data |2 nationallicence | |
| 690 | 7 | |a Dependent censoring |2 nationallicence | |
| 690 | 7 | |a Dependent truncation |2 nationallicence | |
| 700 | 1 | |a Ding |D Aidong |u Department of Mathematics, Northeastern University, 02115, Boston, MA, USA |4 aut | |
| 700 | 1 | |a Hsieh |D Jin-Jian |u Department of Mathematics, National Chung Cheng University, Chia-Yi, Taiwan, ROC |4 aut | |
| 700 | 1 | |a Wang |D Weijing |u Institute of Statistics, National Chiao-Tung University, Hsin-Chu, Taiwan, ROC |4 aut | |
| 773 | 0 | |t Lifetime Data Analysis |d Springer US; http://www.springer-ny.com |g 21/1(2015-01-01), 42-74 |x 1380-7870 |q 21:1<42 |1 2015 |2 21 |o 10985 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10985-013-9286-0 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10985-013-9286-0 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Ding |D Aidong |u Department of Mathematics, Northeastern University, 02115, Boston, MA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hsieh |D Jin-Jian |u Department of Mathematics, National Chung Cheng University, Chia-Yi, Taiwan, ROC |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wang |D Weijing |u Institute of Statistics, National Chiao-Tung University, Hsin-Chu, Taiwan, ROC |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Lifetime Data Analysis |d Springer US; http://www.springer-ny.com |g 21/1(2015-01-01), 42-74 |x 1380-7870 |q 21:1<42 |1 2015 |2 21 |o 10985 | ||