Literature DB >> 17768681

On the Breslow estimator.

D Y Lin1.   

Abstract

In his discussion of Cox's (1972) paper on proportional hazards regression, Breslow (1972) provided the maximum likelihood estimator for the cumulative baseline hazard function. This estimator is commonly used in practice. The estimator has also been highly valuable in the further development of Cox regression and semiparametric inference with censored data. The present paper describes the Breslow estimator and its tremendous impact on the theory and practice of survival analysis.

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Year:  2007        PMID: 17768681     DOI: 10.1007/s10985-007-9048-y

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  6 in total

1.  Exposure stratified case-cohort designs.

Authors:  O Borgan; B Langholz; S O Samuelsen; L Goldstein; J Pogoda
Journal:  Lifetime Data Anal       Date:  2000-03       Impact factor: 1.588

2.  Maximum likelihood estimation for Cox's regression model under nested case-control sampling.

Authors:  Thomas H Scheike; Anders Juul
Journal:  Biostatistics       Date:  2004-04       Impact factor: 5.899

3.  Efficient semiparametric estimation of haplotype-disease associations in case-cohort and nested case-control studies.

Authors:  D Zeng; D Y Lin; C L Avery; K E North; M S Bray
Journal:  Biostatistics       Date:  2006-02-24       Impact factor: 5.899

4.  SEMIPARAMETRIC TRANSFORMATION MODELS WITH RANDOM EFFECTS FOR CLUSTERED FAILURE TIME DATA.

Authors:  Donglin Zeng; D Y Lin; Xihong Lin
Journal:  Stat Sin       Date:  2008-01-01       Impact factor: 1.261

5.  A Z-theorem with Estimated Nuisance Parameters and Correction Note for 'Weighted Likelihood for Semiparametric Models and Two-phase Stratified Samples, with Application to Cox Regression'

Authors:  Norman E Breslow; Jon A Wellner
Journal:  Scand Stat Theory Appl       Date:  2008-03-01       Impact factor: 1.396

Review 6.  Statistical methods in cancer research. Volume II--The design and analysis of cohort studies.

Authors:  N E Breslow; N E Day
Journal:  IARC Sci Publ       Date:  1987
  6 in total
  15 in total

1.  PSEUDO-VALUE APPROACH FOR CONDITIONAL QUANTILE RESIDUAL LIFETIME ANALYSIS FOR CLUSTERED SURVIVAL AND COMPETING RISKS DATA WITH APPLICATIONS TO BONE MARROW TRANSPLANT DATA.

Authors:  Kwang Woo Ahn; Brent R Logan
Journal:  Ann Appl Stat       Date:  2016-07-22       Impact factor: 2.083

2.  A competing risks model for correlated data based on the subdistribution hazard.

Authors:  Stephanie N Dixon; Gerarda A Darlington; Anthony F Desmond
Journal:  Lifetime Data Anal       Date:  2011-05-21       Impact factor: 1.588

3.  Potential Impact of Including Time to First Cigarette in Risk Models for Selecting Ever-Smokers for Lung Cancer Screening.

Authors:  Fangyi Gu; Li C Cheung; Neal D Freedman; Hormuzd A Katki; Neil E Caporaso
Journal:  J Thorac Oncol       Date:  2017-08-14       Impact factor: 15.609

4.  A semiparametric method for comparing the discriminatory ability of biomarkers subject to limit of detection.

Authors:  Lixuan Yin; Guoqing Diao; Aiyi Liu
Journal:  Stat Med       Date:  2017-07-25       Impact factor: 2.373

5.  Estimation of the cumulative baseline hazard function for dependently right-censored failure time data.

Authors:  Antai Wang; Xieyang Jia; Zhezhen Jin
Journal:  J Appl Stat       Date:  2020-07-20       Impact factor: 1.416

6.  Estimating the Effectiveness of Rotavirus Vaccine Schedules.

Authors:  Anne M Butler; Alexander Breskin; John M Sahrmann; M Alan Brookhart
Journal:  Epidemiology       Date:  2021-07-01       Impact factor: 4.860

7.  Fusion designs and estimators for treatment effects.

Authors:  Alexander Breskin; Stephen R Cole; Jessie K Edwards; Ron Brookmeyer; Joseph J Eron; Adimora A Adimora
Journal:  Stat Med       Date:  2021-03-29       Impact factor: 2.497

8.  Comparing Parametric, Nonparametric, and Semiparametric Estimators: The Weibull Trials.

Authors:  Stephen R Cole; Jessie K Edwards; Alexander Breskin; Michael G Hudgens
Journal:  Am J Epidemiol       Date:  2021-08-01       Impact factor: 4.897

9.  G-computation for policy-relevant effects of interventions on time-to-event outcomes.

Authors:  Alexander Breskin; Andrew Edmonds; Stephen R Cole; Daniel Westreich; Jennifer Cocohoba; Mardge H Cohen; Seble G Kassaye; Lisa R Metsch; Anjali Sharma; Michelle S Williams; Adaora A Adimora
Journal:  Int J Epidemiol       Date:  2021-01-23       Impact factor: 9.685

Review 10.  Statistical Methods for Time-Dependent Variables in Hematopoietic Cell Transplantation Studies.

Authors:  Soyoung Kim; Brent Logan; Marcie Riches; Min Chen; Kwang Woo Ahn
Journal:  Transplant Cell Ther       Date:  2020-10-02
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