Simple estimation procedures for regression analysis of interval-censored failure time data under the proportional hazards model
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| 008 | 210128e20150101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s10985-013-9282-4 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10985-013-9282-4 | ||
| 245 | 0 | 0 | |a Simple estimation procedures for regression analysis of interval-censored failure time data under the proportional hazards model |h [Elektronische Daten] |c [Jianguo Sun, Yanqin Feng, Hui Zhao] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer Science+Business Media New York, 2013 | ||
| 690 | 7 | |a Interval-censored failure time data |2 nationallicence | |
| 690 | 7 | |a Partial likelihood function |2 nationallicence | |
| 690 | 7 | |a Proportional hazards model |2 nationallicence | |
| 690 | 7 | |a Regression analysis |2 nationallicence | |
| 700 | 1 | |a Sun |D Jianguo |u Department of Statistics, University of Missouri, Columbia, MO, USA |4 aut | |
| 700 | 1 | |a Feng |D Yanqin |u School of Mathematics and Statistics, Wuhan University, Wuhan, China |4 aut | |
| 700 | 1 | |a Zhao |D Hui |u School of Mathematics and Statistics, Central China Normal University, Wuhan, China |4 aut | |
| 773 | 0 | |t Lifetime Data Analysis |d Springer US; http://www.springer-ny.com |g 21/1(2015-01-01), 138-155 |x 1380-7870 |q 21:1<138 |1 2015 |2 21 |o 10985 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10985-013-9282-4 |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/s10985-013-9282-4 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sun |D Jianguo |u Department of Statistics, University of Missouri, Columbia, MO, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Feng |D Yanqin |u School of Mathematics and Statistics, Wuhan University, Wuhan, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhao |D Hui |u School of Mathematics and Statistics, Central China Normal University, Wuhan, 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), 138-155 |x 1380-7870 |q 21:1<138 |1 2015 |2 21 |o 10985 | ||