The Work of Raymond J. Carroll

1. Front Matter

   Pages i-xx

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2. Measurement Error

   • John P. Buonaccorsi, Aurore Delaigle

   Pages 1-154

3. Transformation and Weighting

   • David Ruppert

   Pages 155-194

4. Epidemiology

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

   Pages 195-292

5. Nonparametric and Semiparametric Regression for Independent Data

   • Hua Liang

   Pages 293-370

6. Nonparametric and Semiparametric Regression for Dependent Data

   • Yehua Li, Naisyin Wang

   Pages 371-446

7. Robustness

   • Roger Koenker, Douglas Simpson

   Pages 447-507

8. Other Work

   • George Casella

   Pages 509-560

9. Back Matter

   Pages 561-579

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This volume contains Raymond J. Carroll's research and commentary on its impact by leading statisticians. Each of the seven main parts focuses on a key research area: Measurement Error, Transformation and Weighting, Epidemiology, Nonparametric and Semiparametric Regression for Independent Data, Nonparametric and Semiparametric Regression for Dependent Data, Robustness, and other work. The seven subject areas reviewed in this book were chosen by Ray himself, as were the articles representing each area. The commentaries not only review Ray’s work, but are also filled with history and anecdotes. Raymond J. Carroll’s impact on statistics and numerous other fields of science is far-reaching. His vast catalog of work spans from fundamental contributions to statistical theory to innovative methodological development and new insights in disciplinary science. From the outset of his career, rather than taking the “safe” route of pursuing incremental advances, Ray has focused on tackling the most important challenges. In doing so, it is fair to say that he has defined a host of statistics areas, including weighting and transformation in regression, measurement error modeling, quantitative methods for nutritional epidemiology and non- and semiparametric regression.

• Ray Carroll
• Statistician Raymond Carroll
• measurement error modeling
• nonparametric regression Carroll
• quantitative methods in epidemiology
• statistical theory in biostatistics

From the book reviews:

“This book details the work and research of a leading expert in the field of statistics, Raymond J. Carroll. … collecting his most pertinent contributions to statistics is very helpful to professionals in this area. … This book is useful to those who wish to have a single go-to reference for most of the important published articles by Dr. Carroll. It is also useful to those who are interested in the history and context of Dr. Carroll’s articles.” (Ashraf Khaled Abusara, Doody’s Book Reviews, October, 2014)

• Department of Statistics, North Carolina State University, Raleigh, USA

  Marie Davidian, Leonard A. Stefanski

• Department of Biostatistics, Harvard School of Public Health, Boston, USA

  Xihong Lin

• Department of Biostatistics, The University of Texas M.D. Anderson Cancer Center, Houston, USA

  Jeffrey S. Morris

Raymond J. Carroll is Distinguished Professor of Statistics, Nutrition, and Toxicology at Texas A&M University, where he has been on the faculty since 1987. He was the first statistician ever given a Method to Extend Research In Time (MERIT) Award from the National Cancer Institute (NCI) of the National Institutes of Health (NIH), receiving this honor for his seminal contributions to statistical methodology and the impact of that methodology on public health. He is the principal investigator of a NCI-funded Bioinformatics training program, and is the founding director of the Texas A&M Center for Statistical Bioinformatics. He is also the Director for the Texas A&M Institute of Applied Mathematics and Computational Science.

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