Statistics in the 21st Century
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Summary
Exactly what is the state of the art in statistics as we move forward into the 21st century? What promises, what trends does its future hold? Through the reflections of 70 of the world's leading statistical methodologists, researchers, theorists, and practitioners, Statistics in the 21st Century answers those questions.
Originally published in the Journal of the American Statistical Association, this collection of vignettes examines our statistical past, comments on our present, and speculates on our future. Although the coverage is broad and the topics diverse, it reveals the essential intellectual unity of the field as we see the same themes recurring in different contexts. We see how the development of statistics has been driven by the unprecedented and still growing range of applications, by the explosion in computer technology, and by the new types of data that continue to emerge and advance the discipline.
Organized around major areas of application and leading up to vignettes on theory and methods, Statistics in the 21st Century forms a landmark record of the progress and perceived future of the discipline. No student, researcher, or practitioner of statistics should miss this extraordinary opportunity to view the past, present, and future world of statistics through the eyes of its foremost thinkers.
Table of Contents
INTRODUCTION, Adrian E. Raftery, Martin A. Tanner, and Martin T. Wells
STATISTICS IN THE LIFE AND MEDICAL SCIENCES, Guest Editor Norman E. Breslow, University of Washington, USA
Survival Analysis, David Oakes
Causal Analysis in the Health Sciences, Sander Greenland
Environmental Statistics, Peter Guttorp
Capture-Recapture Models, Kenneth H. Pollock
Statistics in Animal Breeding, Daniel Gianola
Some Issues in Assessing Human Fertility, Clarice R. Weinberg and David B. Dunson
Statistical Issues in Toxicology, Louise M. Ryan
Receiver Operating Characteristic Methodology, Margaret Sullivan Pepe
The Randomized Clinical Trial, David P. Harrington
Some Contributions of Statistics to Environmental Epidemiology, Duncan C. Thomas
Challenges Facing Statistical Genetics, B. S. Weir
Computational Molecular Biology, Wing Hung Wong
STATISTICS IN BUSINESS AND SOCIAL SCIENCE, Guest Editor Mark P. Becker, University of Michigan, USA
Finance: A Selective Survey, Andrew W. Lo
Statistics and Marketing, Peter E. Rossi and Greg M. Allenby
Time Series and Forecasting: Brief History and Future Research, Ruey S. Tsay
Contingency Tables and Log-Linear Models: Basic Results and New Developments, Stephen E. Fienberg
Causal Inference in the Social Sciences, Michael E. Sobel
Political Methodology: A Welcoming Discipline, Nathaniel L. Beck
Statistics in Sociology, 1950-2000, Adrian E. Raftery
Psychometrics, Michael W. Browne
Empirical Methods and the Law, Theodore Eisenberg
Demography: Past, Present, and Future, Yu Xie
STATISTICS IN THE PHYSICAL SCIENCES AND ENGINEERING, Guest Editor Diane Lambert, Statistics Research Department, Bell Labs, USA
Challenges in Understanding the Atmosphere, Doug Nychka
Seismology: A Statistical Vignette, David Vere-Jones
Internet Traffic Data, William S. Cleveland and Don X. Sun
Coding and Compression: A Happy Union of Theory and Practice, Jorma Rissanen and Bin Yu
Statistics in Reliability, Jerry Lawless
The State of Statistical Process Control as We Proceed into the 21st Century, Zachary G. Stoumbos, Marion R. Reynolds, Jr., Thomas P. Ryan, and William H. Woodall
Statistics in Preclinical Pharmaceutical Research and Development, Bert Gunter and Dan Holder
Statistics in Advanced Manufacturing, Vijay Nair, Mark Hansen, and Jan Shi
THEORY AND METHODS, Guest Editor George Casella, University of Florida, USA
Bayesian Analysis: A Look at Today and Thoughts of Tomorrow, James O. Berger
An Essay on Statistical Decision Theory, Lawrence D. Brown
Markov Chain Monte Carlo: 10 Years and Still Running, Olivier Cappe and Christian P. Robert
Empirical Bayes: Past, Present and Future, Bradley P. Carlin and Thomas A. Louis
Linear and Log-Linear Models, Ronald Christensen
The Bootstrap and Modern Statistics, Bradley Efron
Prospects of Nonparametric Modeling, Jianquing Fan
Gibbs Sampling, Alan E. Gelfand
The Variable Selection Problem, Edward I. George
Robust Nonparametric Methods, Thomas P. Hettmansperger, Joseph W. McKean, and Simon J. Sheather
Hierarchical Models: A Current Computational Perspective, James P. Hobert
Hypothesis Testing: From p Values to Bayes Factors, John I. Marden
Generalized Linear Models, Charles E. McCulloch
Missing Data: Dial M for ???, Xiao-Li Meng
A Robust Journey in the New Millennium, Stephen Portnoy and Xuming He
Likelihood,Nancy Reid
Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts, James Robins and Larry Wasserman
The End of Time Series, V. Solo
Principal Information Theoretic Approaches, Ehsan S. Soofi
Measurement Error Models, L. A. Stefanski
Higher Order Asymptotic Approximation: Laplace, Saddlepoint, and Related Methods, Robert L. Strawderman
Minimaxity, William E. Strawderman
Afterword, George Casella
AUTHOR INDEX
SUBJECT INDEX
Editorial Reviews
"This impressive volume is highly recommended for all statisticians as well as anybody who is interested in applying statistics in any science."
- Perceptual and Motor Skills, December 2001
"Even though statistics is used in different disciplines in different contexts, this volume reveals an underlying cohesiveness of the field. With the growth of computer power and storage, researchers are analyzing large and complex data sets, leading to the need for new methods of model selection. Material is presented clearly and informatively. Extensive author and subject indexes. A valuable addition to academic libraries."
--CHOICE Magazine, May 2002
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