caa a22 4500 605476039 CHVBK 20210128100354.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s10985-013-9282-4 doi (NATIONALLICENCE)springer-10.1007/s10985-013-9282-4 Simple estimation procedures for regression analysis of interval-censored failure time data under the proportional hazards model [Elektronische Daten] [Jianguo Sun, Yanqin Feng, Hui Zhao] Interval-censored failure time data occur in many fields including epidemiological and medical studies as well as financial and sociological studies, and many authors have investigated their analysis (Sun, The statistical analysis of interval-censored failure time data, 2006; Zhang, Stat Modeling 9:321-343, 2009). In particular, a number of procedures have been developed for regression analysis of interval-censored data arising from the proportional hazards model (Finkelstein, Biometrics 42:845-854, 1986; Huang, Ann Stat 24:540-568, 1996; Pan, Biometrics 56:199-203, 2000). For most of these procedures, however, one drawback is that they involve estimation of both regression parameters and baseline cumulative hazard function. In this paper, we propose two simple estimation approaches that do not need estimation of the baseline cumulative hazard function. The asymptotic properties of the resulting estimates are given, and an extensive simulation study is conducted and indicates that they work well for practical situations. Springer Science+Business Media New York, 2013 Interval-censored failure time data nationallicence Partial likelihood function nationallicence Proportional hazards model nationallicence Regression analysis nationallicence Sun Jianguo Department of Statistics, University of Missouri, Columbia, MO, USA aut Feng Yanqin School of Mathematics and Statistics, Wuhan University, Wuhan, China aut Zhao Hui School of Mathematics and Statistics, Central China Normal University, Wuhan, China aut Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/1(2015-01-01), 138-155 1380-7870 21:1<138 2015 21 10985 https://doi.org/10.1007/s10985-013-9282-4 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/s10985-013-9282-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sun Jianguo Department of Statistics, University of Missouri, Columbia, MO, USA aut NATIONALLICENCE 700 1- Feng Yanqin School of Mathematics and Statistics, Wuhan University, Wuhan, China aut NATIONALLICENCE 700 1- Zhao Hui School of Mathematics and Statistics, Central China Normal University, Wuhan, China aut NATIONALLICENCE 773 0- Lifetime Data Analysis Springer US; http://www.springer-ny.com 21/1(2015-01-01), 138-155 1380-7870 21:1<138 2015 21 10985