Literature DB >> 19995351

The accelerated failure time model under biased sampling.

Micha Mandel1, Ya'akov Ritov.   

Abstract

Chen (2009, Biometrics) studies the semi-parametric accelerated failure time model for data that are size biased. Chen considers only the uncensored case and uses hazard-based estimation methods originally developed for censored observations. However, for uncensored data, a simple linear regression on the log scale is more natural and provides better estimators.
© 2009, The International Biometric Society.

Mesh:

Year:  2010        PMID: 19995351     DOI: 10.1111/j.1541-0420.2009.01366_1.x

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


  12 in total

1.  Nonparametric tests for right-censored data with biased sampling.

Authors:  Jing Ning; Jing Qin; Yu Shen
Journal:  J R Stat Soc Series B Stat Methodol       Date:  2010-11-01       Impact factor: 4.488

2.  Score Estimating Equations from Embedded Likelihood Functions under Accelerated Failure Time Model.

Authors:  Jing Ning; Jing Qin; Yu Shen
Journal:  J Am Stat Assoc       Date:  2014-10       Impact factor: 5.033

3.  Likelihood approaches for the invariant density ratio model with biased-sampling data.

Authors:  Yu Shen; Jing Ning; Jing Qin
Journal:  Biometrika       Date:  2012-03-30       Impact factor: 2.445

4.  Proportional mean residual life model for right-censored length-biased data.

Authors:  Kwun Chuen Gary Chan; Ying Qing Chen; Chong-Zhi Di
Journal:  Biometrika       Date:  2012-09-30       Impact factor: 2.445

5.  Simple and fast overidentified rank estimation for right-censored length-biased data and backward recurrence time.

Authors:  Yifei Sun; Kwun Chuen Gary Chan; Jing Qin
Journal:  Biometrics       Date:  2017-05-15       Impact factor: 2.571

Review 6.  Nonparametric and semiparametric regression estimation for length-biased survival data.

Authors:  Yu Shen; Jing Ning; Jing Qin
Journal:  Lifetime Data Anal       Date:  2016-04-16       Impact factor: 1.588

7.  Accelerated failure time model under general biased sampling scheme.

Authors:  Jane Paik Kim; Tony Sit; Zhiliang Ying
Journal:  Biostatistics       Date:  2016-03-03       Impact factor: 5.899

8.  Survival analysis without survival data: connecting length-biased and case-control data.

Authors:  Kwun Chuen Gary Chan
Journal:  Biometrika       Date:  2013       Impact factor: 2.445

9.  Buckley-James-type estimator with right-censored and length-biased data.

Authors:  Jing Ning; Jing Qin; Yu Shen
Journal:  Biometrics       Date:  2011-03-08       Impact factor: 2.571

10.  Semiparametric Accelerated Failure Time Model for Length-biased Data with Application to Dementia Study.

Authors:  Jing Ning; Jing Qin; Yu Shen
Journal:  Stat Sin       Date:  2014-01-01       Impact factor: 1.261

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.