Literature DB >> 11550937

Accelerated hazards regression model and its adequacy for censored survival data.

Y Q Chen1.   

Abstract

The accelerated hazards regression model is introduced to study the relationship between survival times and covariates through a scale change between hazard functions. The model is also compared with several other popular classes of regression models for censored survival data in statistical literature. Test statistics are proposed and studied to assess the model's adequacy. Actual data from a randomized clinical trial of biodegradable carmustine polymer for treatment of brain cancer are analyzed to demonstrate the potential application of the regression model and the proposed test statistics.

Entities:  

Mesh：

Substances：

Year:  2001        PMID： 11550937     DOI： 10.1111/j.0006-341x.2001.00853.x

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


  9 in total

1.  On the estimators and tests for the semiparametric hazards regression model.

Authors:  Seung-Hwan Lee
Journal:  Lifetime Data Anal       Date:  2015-10-13       Impact factor: 1.588

2.  A New Semiparametric Estimation Method for Accelerated Hazards Mixture Cure Model.

Authors:  Jiajia Zhang; Yingwei Peng; Haifen Li
Journal:  Comput Stat Data Anal       Date:  2013-03       Impact factor: 1.681

3.  Crossing Hazard Functions in Common Survival Models.

Authors:  Jiajia Zhang; Yingwei Peng
Journal:  Stat Probab Lett       Date:  2009-10-15       Impact factor: 0.870

4.  Accelerated hazards mixture cure model.

Authors:  Jiajia Zhang; Yingwei Peng
Journal:  Lifetime Data Anal       Date:  2009-08-21       Impact factor: 1.588

5.  Induced Smoothing for the Semiparametric Accelerated Hazards Model.

Authors:  Haifen Li; Jiajia Zhang; Yincai Tang
Journal:  Comput Stat Data Anal       Date:  2012-04-09       Impact factor: 1.681

6.  Accelerated hazards model based on parametric families generalized with Bernstein polynomials.

Authors:  Yuhui Chen; Timothy Hanson; Jiajia Zhang
Journal:  Biometrics       Date:  2013-11-21       Impact factor: 2.571

7.  On a Shape-Invariant Hazard Regression Model with application to an HIV Prevention Study of Mother-to-Child Transmission.

Authors:  Cheng Zheng; Ying Qing Chen
Journal:  Stat Biosci       Date:  2019-10-19

8.  Survival analysis of thalassemia major patients using Cox, Gompertz proportional hazard and Weibull accelerated failure time models.

Authors:  Enayatollah Bakhshi; Reza Ali Akbari Khoei; Azita Azarkeivan; Maryam Kooshesh; Akbar Biglarian
Journal:  Med J Islam Repub Iran       Date:  2017-12-17

9.  Hypertabastic survival model.

Authors:  Mohammad A Tabatabai; Zoran Bursac; David K Williams; Karan P Singh
Journal:  Theor Biol Med Model       Date:  2007-10-26       Impact factor: 2.432
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.