Laurence Freedman, Mitchell H. Gail, Dale L. Preston

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Raymond Carroll's work has had an important impact on epidemiologic research. This article reviews contributions to theory for the case-control design and to methods for nutritional and radiation epidemiology. Some of these contributions build on Ray's broad-ranging research on regression analysis, measurement error, and missing data problems. Ray has been a welcome visitor at the U. S. National Institutes of Health (NIH), first with the National Heart, Lung, and Blood Institute and later with the National Cancer Institute (NCI), both as a Visiting Scientist and Guest Researcher and as a friendly collaborator who drops by from time to time. At NIH, he has given valuable advice on a wide range of topics and collaborated on many projects not covered by this article, including the analysis of survival data with informative censoring (Wu and Carroll, 1988 [OW-2]), the design of community intervention trials (Gail et al., 1996), the design and analysis of the kin-cohort design for genetic epidemiology (Carroll et al., 2000 Gail et al., 1999), the meta-analysis of surrogate endpoints (Gail, 2000), and agreement of exposure assessments based on quantile groupings (Borkowf et al., 1997), among many others.

Original languageEnglish
Title of host publicationThe Work of Raymond J. Carroll
Subtitle of host publicationThe Impact and Influence of a Statistician
PublisherSpringer International Publishing
Number of pages98
ISBN (Electronic)9783319058016
ISBN (Print)3319058002, 9783319058009
StatePublished - 1 Mar 2014
Externally publishedYes

Bibliographical note

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