Literature DB >> 3814726

A proportional hazards model for interval-censored failure time data.

D M Finkelstein.   

Abstract

This paper develops a method for fitting the proportional hazards regression model when the data contain left-, right-, or interval-censored observations. Results given for testing the hypothesis of a zero regression coefficient lead to a generalization of the log-rank test for comparison of several survival curves. The method is used to analyze data from an animal tumorigenicity study and also a clinical trial.

Mesh:

Year:  1986        PMID: 3814726

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  93 in total

1.  The Age-Related Eye Disease Study (AREDS): design implications. AREDS report no. 1.

Authors: 
Journal:  Control Clin Trials       Date:  1999-12

2.  Nonparametric test for doubly interval-censored failure time data.

Authors:  J Sun
Journal:  Lifetime Data Anal       Date:  2001-12       Impact factor: 1.588

Review 3.  Rank estimation of log-linear regression with interval-censored data.

Authors:  Linxiong Li; Zongwei Pu
Journal:  Lifetime Data Anal       Date:  2003-03       Impact factor: 1.588

4.  Outcome-dependent sampling with interval-censored failure time data.

Authors:  Qingning Zhou; Jianwen Cai; Haibo Zhou
Journal:  Biometrics       Date:  2017-08-03       Impact factor: 2.571

5.  Saddlepoint p-values and confidence intervals for a class of two sample permutation tests for current status and panel count data.

Authors:  Ehab F Abd-Elfattah
Journal:  Lifetime Data Anal       Date:  2010-12-08       Impact factor: 1.588

6.  Prospective estimation of the age of initiation of hookah use among youth: Findings from the Population Assessment of Tobacco and Health (PATH) study waves 1-4 (2013-2017).

Authors:  Adriana Pérez; Arnold E Kuk; Meagan A Bluestein; Melissa B Harrell; Cheryl L Perry; Baojiang Chen
Journal:  Addict Behav       Date:  2021-01-21       Impact factor: 3.913

7.  Frailty models for arbitrarily censored and truncated data.

Authors:  Catherine Huber-Carol; Ilia Vonta
Journal:  Lifetime Data Anal       Date:  2004-12       Impact factor: 1.588

8.  A baseline-free procedure for transformation models under interval censorship.

Authors:  Ming Gao Gu; Liuquan Sun; Guoxin Zuo
Journal:  Lifetime Data Anal       Date:  2005-12       Impact factor: 1.588

9.  Testing the proportional odds model for interval-censored data.

Authors:  Jianguo Sun; Liuquan Sun; Chao Zhu
Journal:  Lifetime Data Anal       Date:  2007-03       Impact factor: 1.588

10.  Estimation of survival functions in interval and right censored data using STD behavioural diaries.

Authors:  Jaroslaw Harezlak; Wanzhu Tu
Journal:  Stat Med       Date:  2006-12-15       Impact factor: 2.373

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.