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Ross Prentice

From Wikipedia, the free encyclopedia
Canadian-born statistician

Ross L. Prentice
Born (1946-10-16)October 16, 1946 (age 79)
Education
Awards
Scientific career
FieldsBiostatistics,epidemiology
Institutions
ThesisDilution, bio-assay, discrete reaction, and the structural model (1970)
Doctoral advisorDonald A. S. Fraser
Doctoral studentsSharon Xiangwen Xie[1]

Ross Laverne Prentice[1] (born October 16, 1946)[3] is a Canadian statistician known particularly for his contributions tosurvival analysis and statistical methods forepidemiology.[4] Since 1974, he has worked at theFred Hutchinson Cancer Research Center and is also a professor ofbiostatistics at theUniversity of Washington School of Public Health.[5]

Education and career

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Prentice studied mathematics at theUniversity of Waterloo from where he graduated in 1967, then obtained an MSc and PhD in statistics from theUniversity of Toronto. He taught at the University of Waterloo before moving to the Fred Hutchinson Cancer Research Center in 1974.[5]

Prentice proposed thecase-cohort design in 1986.[4][6] His most cited statistical paper, published in 1989, concerns a criterion for the valid use ofsurrogate endpoints.[4][7] He was one of the leaders of the Clinical Coordinating Center of theWomen's Health Initiative from its beginning in 1993.[4][5]

Honors and awards

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Prentice received theCOPSS Presidents' Award in 1986[8] and theR. A. Fisher Lectureship in 2008, for which the citation read:[9]

For fundamental contributions to the theory and practice of statistical science; for his influential and innovative research in the areas of survival analysis, life history processes,case-control andcohort studies; and for his influential role in the conception, design, and implementation of the Women's Health Initiative.

Books

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  • John D. Kalbfleisch; Ross L. Prentice (1980).The Statistical Analysis of Failure Time Data. John Wiley & Sons.ISBN 9780471055198.
  • Ross L. Prentice; Shanshan Zhao (2019).The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach. Chapman & Hall.ISBN 9781482256574.

References

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  1. ^ab"Ross Prentice - The Mathematics Genealogy Project".www.mathgenealogy.org.
  2. ^Hsu, Li; Kooperberg, Charles (February 1, 2022)."A Conversation with Ross Prentice".Statistical Science.37 (1).doi:10.1214/21-STS829.ISSN 0883-4237.
  3. ^"Prentice, Ross L."LC Linked Data Service: Authorities and Vocabularies. Library of Congress. RetrievedDecember 27, 2018.
  4. ^abcdLin, D. Y. (November 1, 2013)."An overview of Ross Prentice's contributions to statistical science".Statistics in Biosciences.5 (2):224–231.doi:10.1007/s12561-013-9095-8.PMC 3821774.PMID 24223073.
  5. ^abc"Ross L. Prentice, PhD". Fred Hutchinson Cancer Research Center. RetrievedDecember 26, 2018.
  6. ^Prentice, R. L. (1986). "A case-cohort design for epidemiologic cohort studies and disease prevention trials".Biometrika.73 (1):1–11.doi:10.1093/biomet/73.1.1.ISSN 0006-3444.
  7. ^Prentice, Ross L. (1989). "Surrogate endpoints in clinical trials: Definition and operational criteria".Statistics in Medicine.8 (4):431–440.doi:10.1002/sim.4780080407.ISSN 0277-6715.PMID 2727467.
  8. ^"Presidents' Award". Committee of Presidents of Statistical Societies. RetrievedDecember 26, 2018.
  9. ^"R.A. Fisher Award and Lectureship". Committee of Presidents of Statistical Societies. Archived fromthe original on August 15, 2018. RetrievedDecember 26, 2018.
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