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.
Clinical Trials in Oncology, Third Edition
3rd Edition
By Stephanie Green, Jacqueline Benedetti, Angela Smith, John Crowley
October 14, 2016
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 ...
Spatial Point Patterns: Methodology and Applications with R
1st Edition
By 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 ...
Time Series Modeling of Neuroscience Data
1st Edition
By Tohru Ozaki
January 26, 2012
Recent advances in brain science measurement technology have given researchers access to very large-scale time series data such as EEG/MEG data (20 to 100 dimensional) and fMRI (140,000 dimensional) data. To analyze such massive data, efficient computational and statistical methods are required. ...
Design and Analysis of Quality of Life Studies in Clinical Trials
2nd Edition
By Diane L. Fairclough
January 07, 2010
Design Principles and Analysis Techniques for HRQoL Clinical TrialsSAS, R, and SPSS examples realistically show how to implement methods Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition addresses design and analysis aspects in ...
Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models
1st Edition
By Anders Skrondal, Sophia Rabe-Hesketh
May 11, 2004
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable ...
Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments
1st Edition
By Paul Gustafson
September 25, 2003
Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and ...
Statistical Analysis of Gene Expression Microarray Data
1st Edition
Edited
By Terry Speed
March 26, 2003
Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of...
Graphical Analysis of Multi-Response Data
1st Edition
By Kaye Enid Basford, John Wilder Tukey
October 21, 1998
A comprehensive summary of new and existing approaches to analyzing multiresponse data, Graphical Analysis of Multiresponse Data emphasizes graphical procedures. These procedures are then used, in various ways, to analyze, summarize, and present data from a specific, well-known plant breeding ...
Statistics for Environmental Biology and Toxicology
1st Edition
By A. John Bailer, Walter. Piegorsch
July 01, 1997
Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis of environmental data obtained in biological or toxicological experiments. Beginning with basic probability and statistical inferences, this text progresses through ...
Markov Chain Monte Carlo in Practice
1st Edition
Edited
By W.R. Gilks, S. Richardson, David Spiegelhalter
December 01, 1995
In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in Austria place a Bronze Age site in its true ...
Introduction to Computational Biology: Maps, Sequences and Genomes
1st Edition
By Michael S. Waterman
June 01, 1995
Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of ...