Aims and Scope
Launched in the 1990s, reflecting the increasing importance of statistics in various fields of scientific research, the series aims to foster the application of statistical methodology in these disciplines. It is vital in the modern information era, with a prevalence of large and complex datasets, that researchers, practitioners and students from nearly all sciences have a solid understanding of statistical methods and their application.
The books in the series are necessarily very applied in nature, presenting overviews of statistical methodology with applications in fields as diverse as medical research, epidemiology, biology, genetics, ecology, actuarial science, social and behavioral science, and engineering. An emphasis is placed on describing the methods with sufficient rigor whilst assuming little in terms of the mathematical sophistication of the reader. The inclusion of detailed case studies and worked examples, preferably implemented using recognized statistical software, is therefore essential.
Recently Published Titles
- Flexible Imputation of Missing Data, Second Edition
- Compositional Data Analysis in Practice
- Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition
- Statistical Methods in Psychiatry and Related Fields: Longitudinal, Clustered, and Other Repeated Measures Data
- Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS
- Modern Directional Statistics
- Capture-Recapture Methods for the Social and Medical Sciences
- Correspondence Analysis in Practice, Third Edition
- Spatial Point Patterns: Methodology and Applications with R
- Missing Data Analysis in Practice
- Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata
- Power Analysis of Trials with Multilevel Data
- Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation
- Analysis of Capture-Recapture Data
Peter van der Heijden
Department of Methodology and Statistics, Utrecht University, The Netherlands
Department of Biostatistics, University of Copenhagen, Denmark
Byron J. T. Morgan
Institute of Mathematics and Statistics, University of Kent at Canterbury, UK
Christopher K. Wikle
Department of Statistics, University of Missouri, Columbia, MO, USA
Want to Publish With Us?
If you are interested in proposing a book for the series, please contact the series editor or one of our statistics acquisitions editors.