BOOK SERIES


Chapman & Hall/CRC Interdisciplinary Statistics


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Survival Analysis with Interval-Censored Data: A Practical Approach with R, SAS and BUGS

Survival Analysis with Interval-Censored Data: A Practical Approach with R, SAS and BUGS

Forthcoming

Kris Bogaerts, Arnost Komarek, Emmanuel Lesaffre
September 15, 2017

This book describes methods and software implementations for the analysis of interval-censored data. The authors present the theoretical background for all methods and apply the methods to real data sets. They also provide the R, SAS, and WinBUGS code for all the examples, enabling readers to...

Capture-Recapture Methods for the Social and Medical Sciences

Capture-Recapture Methods for the Social and Medical Sciences

Forthcoming

Dankmar Bohning, Peter G.M. Van der Heijden, John Bunge
August 01, 2017

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...

Correspondence Analysis in Practice, Third Edition

Correspondence Analysis in Practice, Third Edition

Michael Greenacre
December 20, 2016

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...

Spatial Point Patterns: Methodology and Applications with R

Spatial Point Patterns: Methodology and Applications with R

Adrian Baddeley, Ege Rubak, Rolf Turner
November 24, 2015

Modern Statistical Methodology and Software for Analyzing Spatial Point Patterns Spatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques...

Missing Data Analysis in Practice

Missing Data Analysis in Practice

Trivellore Raghunathan
October 28, 2015

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...

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata

Francesco Bartolucci, Silvia Bacci, Michela Gnaldi
July 23, 2015

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in...

Power Analysis of Trials with Multilevel Data

Power Analysis of Trials with Multilevel Data

Mirjam Moerbeek, Steven Teerenstra
July 07, 2015

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...

Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation

Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation

Stephen Burgess, Simon G. Thompson
March 06, 2015

Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk...

Analysis of Capture-Recapture Data

Analysis of Capture-Recapture Data

Rachel S. McCrea, Byron J. T. Morgan
August 01, 2014

An important first step in studying the demography of wild animals is to identify the animals uniquely through applying markings, such as rings, tags, and bands. Once the animals are encountered again, researchers can study different forms of capture-recapture data to estimate features, such as the...

Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition

Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition

Andrew B. Lawson
March 18, 2013

Since the publication of the first 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...

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications

Yang Yang, Kenneth C. Land
February 25, 2013

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three...

Clinical Trials in Oncology, Third Edition

Clinical Trials in Oncology, Third Edition

Stephanie Green, Jacqueline Benedetti, Angela Smith, John Crowley
May 09, 2012

The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the...

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