Commissioned by the Statistical Society of Canada (SSC), this volume helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that Canadian statisticians are making to science, technology, business, government, and other areas. The book emphasizes the role and impact of computing in statistical modeling and analysis, including the issues involved with the huge amounts of data being generated by automated processes.

Canadians Studying Abroad and the Development of Statistics in Canada. Some of Statistics Canada's Contributions to Survey Methodology. Watching Children Grow Taught Us All We Know. Modeling Dependence beyond Correlation. Lasso and Sparsity in Statistics. Optimizing and Adapting the Metropolis Algorithm. Design of Computer Experiments for Optimization, Estimation of Function Contours, and Related Objectives. Statistical Genetic Modeling and Analysis of Complex Traits. Bayesian Methods in Fisher's Statistical Genetics World. Bayesian Statistical Methodology for Observational Health Sciences Data. Statistical Models for Disease Processes: Markers and Skeletal Complications in Cancer Metastasic to Bone. Analysis of Biased Survival Data: The Canadian Study of Health and Aging and Beyond. Assessing the Effect on Survival of Kidney Transplantation with Higher-Risk Donor Kidneys. Risk-Adjusted Monitoring of Outcomes in Health Care. Statistics in Financial Engineering. Making Personalized Recommendations in E-Commerce. What Do Salmon and Injection Drug Users Have in Common? Capture-Recapture Methods for Estimating the Size of a Population: Dealing with Variable Capture Probabilities. Challenges in Statistical Marine Ecology. Quantifying the Human and Natural Contributions to Observed Climate Change. Data Hungry Models in a Food Hungry World: An Interdisciplinary Challenge Bridged by Statistics. Index.