Chapman & Hall/CRC Interdisciplinary Statistics
About the Book Series
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.
Please contact us if you have an idea for a book for the series.
Capture-Recapture Methods for the Social and Medical Sciences
1st Edition
Edited
By Dankmar Bohning, Peter G.M. van der Heijden, John Bunge
June 30, 2021
Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants, illicit drug users, or people with ...
Design of Experiments for Generalized Linear Models
1st Edition
By Kenneth G. Russell
June 30, 2021
Generalized Linear Models (GLMs) allow many statistical analyses to be extended to important statistical distributions other than the Normal distribution. While numerous books exist on how to analyse data using a GLM, little information is available on how to collect the data that are to be ...
Model-based Geostatistics for Global Public Health: Methods and Applications
1st Edition
By Peter J. Diggle, Emanuele Giorgi
June 30, 2021
Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its application in public health research. In the public health problems that are the focus of this book, the ...
Mendelian Randomization: Methods for Causal Inference Using Genetic Variants
2nd Edition
By Stephen Burgess, Simon G. Thompson
June 23, 2021
Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. It brings together diverse aspects of Mendelian randomization from the fields of epidemiology, statistics, genetics, and...
Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition
3rd Edition
By Andrew B. Lawson
March 31, 2021
Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in...
Correspondence Analysis in Practice
3rd Edition
By Michael Greenacre
March 31, 2021
Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA...
Power Analysis of Trials with Multilevel Data
1st Edition
By Mirjam Moerbeek, Steven Teerenstra
March 31, 2021
Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis that details terminology and notation, outlines key concepts of statistical power and power ...
Applied Directional Statistics: Modern Methods and Case Studies
1st Edition
Edited
By Christophe Ley, Thomas Verdebout
December 18, 2020
This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017). The field of directional statistics has received a lot of attention due to ...
Missing Data Analysis in Practice
1st Edition
By Trivellore Raghunathan
December 18, 2020
Missing Data Analysis in Practice provides practical methods for analyzing missing data along with the heuristic reasoning for understanding the theoretical underpinnings. Drawing on his 25 years of experience researching, teaching, and consulting in quantitative areas, the author presents both ...
The Data Book: Collection and Management of Research Data
1st Edition
By Meredith Zozus
December 18, 2020
The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on...
Statistical Methods in Psychiatry and Related Fields: Longitudinal, Clustered, and Other Repeated Measures Data
1st Edition
By Ralitza Gueorguieva
September 30, 2020
Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations.Simple statistical ...
Modern Directional Statistics
1st Edition
By Christophe Ley, Thomas Verdebout
June 30, 2020
Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the ...