Raftery A.E., Tanner M.A., Wells M.T. (eds.) Statistics in the 21st Century

Boca Raton: CRC Press, 2002. — 501 p.Statistics in the Life and Medical Sciences
Survival Analysis
Causal Analysis in the Health Sciences
Environmental Statistics
Capture–Recapture Models
Statistics in Animal Breeding
Some Issues in Assessing Human Fertility
Statistical Issues in Toxicology
Receiver Operating Characteristic Methodology
The Randomized Clinical Trial
Some Contributions of Statistics to Environmental Epidemiology
Challenges Facing Statistical Genetics
Computational Molecular Biology
Statistics in Business and Social Science
Finance: A Selective Survey
Time Series and Forecasting: Brief History and Future Research
Contingency Tables and Log-Linear Models: Basic Results and New Developments
Causal Inference in the Social Sciences
Political Methodology: A Welcoming Discipline
Statistics in Sociology, 1950–2000
Psychometrics
Empirical Methods and the Law
Demography: Past, Present, and Future
Statistics in the Physical Sciences and Engineering
Challenges in Understanding the Atmosphere
Seismology—A Statistical Vignette
Internet Traffic Data
Coding and Compression: A Happy Union of Theory and Practice
Statistics in Reliability
The State of Statistical Process Control as We Proceed into the 21st Century
Statistics in Preclinical Pharmaceutical Research and Development
Statistics in Advanced Manufacturing
Theory and Methods of Statistics
Bayesian Analysis: A Look at Today and Thoughts of Tomorrow
An Essay on Statistical Decision Theory
Markov Chain Monte Carlo: 10 Years and Still Running!
Empirical Bayes: Past, Present, and Future
Linear and Log-Linear Models
The Bootstrap and Modern Statistics
Prospects of Nonparametric Modeling
Gibbs Sampling
The Variable Selection Problem
Robust Nonparametric Methods
Hierarchical Models: A Current Computational Perspective
Hypothesis Testing: From p Values to Bayes Factors
Generalized Linear Models
Missing Data: Dial M for?
A Robust Journey in the New Millennium
Likelihood
Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts
The End of Time Series
Principal Information Theoretic Approaches
Measurement Error Models
Higher-Order Asymptotic Approximation: Laplace, Saddlepoint, and Related Methods
Minimaxity
Afterword