caa a22 4500 605475997 CHVBK 20210128100354.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s10985-013-9285-1 doi (NATIONALLICENCE)springer-10.1007/s10985-013-9285-1 A flexible semiparametric transformation model for recurrent event data [Elektronische Daten] [Lin Dong, Liuquan Sun] 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. Springer Science+Business Media New York, 2013 Estimating equation nationallicence Marginal model nationallicence Model checking nationallicence Recurrent events nationallicence Time-varying effects nationallicence Transformation model nationallicence Dong Lin Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut Sun Liuquan Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/1(2015-01-01), 20-41 1380-7870 21:1<20 2015 21 10985 https://doi.org/10.1007/s10985-013-9285-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10985-013-9285-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Dong Lin Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Sun Liuquan Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, People's Republic of China aut NATIONALLICENCE 773 0- Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/1(2015-01-01), 20-41 1380-7870 21:1<20 2015 21 10985