A flexible semiparametric transformation model for recurrent event data
| LEADER | caa a22 4500 | ||
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| 001 | 605475997 | ||
| 003 | CHVBK | ||
| 005 | 20210128100354.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s10985-013-9285-1 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10985-013-9285-1 | ||
| 245 | 0 | 2 | |a A flexible semiparametric transformation model for recurrent event data |h [Elektronische Daten] |c [Lin Dong, Liuquan Sun] |
| 520 | 3 | |a In this article, we propose a class of semiparametric transformation models for recurrent event data, in which the baseline mean function is allowed to depend on covariates through an additive model, and some covariate effects are allowed to be time-varying. For inference on the model parameters, estimating equation approaches are developed, and the asymptotic properties of the resulting estimators are established. In addition, a lack-of-fit test is presented to assess the adequacy of the model. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a bladder cancer study is illustrated. | |
| 540 | |a Springer Science+Business Media New York, 2013 | ||
| 690 | 7 | |a Estimating equation |2 nationallicence | |
| 690 | 7 | |a Marginal model |2 nationallicence | |
| 690 | 7 | |a Model checking |2 nationallicence | |
| 690 | 7 | |a Recurrent events |2 nationallicence | |
| 690 | 7 | |a Time-varying effects |2 nationallicence | |
| 690 | 7 | |a Transformation model |2 nationallicence | |
| 700 | 1 | |a Dong |D Lin |u Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China |4 aut | |
| 700 | 1 | |a Sun |D Liuquan |u Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China |4 aut | |
| 773 | 0 | |t Lifetime Data Analysis |d Springer US; http://www.springer-ny.com |g 21/1(2015-01-01), 20-41 |x 1380-7870 |q 21:1<20 |1 2015 |2 21 |o 10985 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10985-013-9285-1 |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/s10985-013-9285-1 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Dong |D Lin |u Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sun |D Liuquan |u Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China |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), 20-41 |x 1380-7870 |q 21:1<20 |1 2015 |2 21 |o 10985 | ||