New and Published Books
51-60 of 91 results in Chapman & Hall/CRC Texts in Statistical Science
An Introduction with R
Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an...
Published February 27th 2006 by Chapman and Hall/CRC
Generalized Linear, Mixed Effects and Nonparametric Regression Models
Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which...
Published December 20th 2005 by Chapman and Hall/CRC
Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools...
Published December 20th 2004 by Chapman and Hall/CRC
Study Design and Data Analysis, Second Edition
Building an up-to-date understanding of the methodologies that can be used to shape public health policies, Epidemiology: Study Design and Data Analysis, Second Edition encompasses the study of epidemiology from the observation of associations between risk factors and disease to the use of...
Published November 29th 2004 by Chapman and Hall/CRC
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more...
Published August 26th 2003 by Chapman and Hall/CRC
An Introduction, Sixth Edition
Since 1975, The Analysis of Time Series: An Introduction has introduced legions of statistics students and researchers to the theory and practice of time series analysis. With each successive edition, bestselling author Chris Chatfield has honed and refined his presentation, updated the material to...
Published July 29th 2003 by Chapman and Hall/CRC
Analysis of Time-to-Event Data
Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Prerequisites are a standard pre-calculus first course in probability...
Published July 28th 2003 by Chapman and Hall/CRC
Critically acclaimed and resoundingly popular in its first edition, Modelling Survival Data in Medical Research has been thoroughly revised and updated to reflect the many developments and advances--particularly in software--made in the field over the last 10 years. Now, more than ever, it provides...
Published March 28th 2003 by Chapman and Hall/CRC
Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to an exact version of...
Published September 25th 2002 by Chapman and Hall/CRC
Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a valuable reference for practitioners. It focuses on the many techniques that appear in popular software packages, including plotting product-limit survival curves,...
Published February 26th 2002 by Chapman and Hall/CRC
Modelling Survival Data in Medical Research, Third Edition
To Be Published December 4th 2014
Design and Analysis of Experiments with R
To Be Published December 4th 2014
Statistics for Finance
To Be Published March 14th 2015
Data Analysis with Competing Risks and Intermediate States
To Be Published April 14th 2015
Generalized Linear Models and Correlated Data Methods
To Be Published May 14th 2015
Analysis of Longitudinal Studies in Epidemiology
To Be Published June 25th 2015
Logistic Regression Models, Second Edition
To Be Published June 29th 2015
Spatio-Temporal Methods in Environmental Epidemiology
To Be Published August 14th 2015