Literature DB >> 24223073

An overview of Ross Prentice's contributions to statistical science.

D Y Lin1.   

Abstract

Ross Prentice's work has had the most profound impact on the theory and practice of statistics. His research interests range from survival analysis, longitudinal data analysis, epidemiologic designs and analysis, to genomic studies. His contributions are so broad and so deep that it would be impossible to provide a comprehensive review in any limited amount of space. In this commentary, I will attempt to give a brief tour of some of his statistical work, focusing on ten of my favorite papers of his. I will describe the main ideas in those papers and their influence on the directions of statistical research and on the designs and analysis of medical studies. I will mention a few stories along the way.

Entities:  

Keywords:  Case-cohort design; Women’s Health Initiative; case-control studies; competing risks; linear rank tests; logistic regression; longitudinal data; marginal likelihood; measurement error; multivariate failure time data; quadratic exponential model; surrogate endpoints; survival analysis

Year:  2013        PMID: 24223073      PMCID: PMC3821774          DOI: 10.1007/s12561-013-9095-8

Source DB:  PubMed          Journal:  Stat Biosci        ISSN: 1867-1764


  4 in total

1.  Estimating equations for parameters in means and covariances of multivariate discrete and continuous responses.

Authors:  R L Prentice; L P Zhao
Journal:  Biometrics       Date:  1991-09       Impact factor: 2.571

2.  Surrogate endpoints in clinical trials: definition and operational criteria.

Authors:  R L Prentice
Journal:  Stat Med       Date:  1989-04       Impact factor: 2.373

3.  The analysis of failure times in the presence of competing risks.

Authors:  R L Prentice; J D Kalbfleisch; A V Peterson; N Flournoy; V T Farewell; N E Breslow
Journal:  Biometrics       Date:  1978-12       Impact factor: 2.571

4.  Estimation of exponential survival probabilities with concomitant information.

Authors:  P Feigl; M Zelen
Journal:  Biometrics       Date:  1965-12       Impact factor: 2.571

  4 in total

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