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Wiley Series in Statistics in Practice

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Advisory Editor, Marian Scott, University of Glasgow, Scotland, UK

Founding Editor, Vic Barnett, Nottingham Trent University, UK

Statistics in Practice is an important international series of texts which provide detailed coverage of statistical concepts, methods, and worked case studies in specific fields of investigation and study.

With sound motivation and many worked practical examples, the books show in down‐to‐earth terms how to select and use an appropriate range of statistical techniques in a particular practical field within each title's special topic area.

The books provide statistical support for professionals and research workers across a range of employment fields and research environments. Subject areas covered include medicine and pharmaceutics; industry, finance, and commerce; public services; the earth and environmental sciences, and so on.

The books also provide support to students studying statistical courses applied to the above areas. The demand for graduates to be equipped for the work environment has led to such courses becoming increasingly prevalent at universities and colleges.

It is our aim to present judiciously chosen and well‐written workbooks to meet everyday practical needs. Feedback of views from readers will be most valuable to monitor the success of this aim.

A complete list of titles in this series appears at the end of the volume.

WILEY SERIES IN STATISTICS IN PRACTICE

Advisory Editor, Marian Scott, University of Glasgow, Scotland, UK

Founding Editor, Vic Barnett, Nottingham Trent University, UK

Human and Biological Sciences

Brown and Prescott · Applied Mixed Models in Medicine

Ellenberg, Fleming and DeMets · Data Monitoring Committees in Clinical Trials: A Practical Perspective

Lawson, Browne and Vidal Rodeiro · Disease Mapping With WinBUGS and MLwiN

Lui · Statistical Estimation of Epidemiological Risk

*Marubini and Valsecchi · Analysing Survival Data from Clinical Trials and Observation Studies

Parmigiani · Modeling in Medical Decision Making: A Bayesian Approach

Senn · Cross-over Trials in Clinical Research, Second Edition

Senn · Statistical Issues in Drug Development

Spiegelhalter, Abrams and Myles · Bayesian Approaches to Clinical Trials and Health-Care Evaluation

Turner · New Drug Development: Design, Methodology, and Analysis

Whitehead · Design and Analysis of Sequential Clinical Trials, Revised Second Edition

Whitehead · Meta-Analysis of Controlled Clinical Trials

Zhou, Zhou, Liu and Ding · Applied Missing Data Analysis in the Health Sciences

Earth and Environmental Sciences

Buck, Cavanagh and Litton · Bayesian Approach to Interpreting Archaeological Data

Cooke · Uncertainty Modeling in Dose Response: Bench Testing Environmental Toxicity

Gibbons, Bhaumik, and Aryal · Statistical Methods for Groundwater Monitoring, Second Edition

Glasbey and Horgan · Image Analysis in the Biological Sciences

Helsel · Nondetects and Data Analysis: Statistics for Censored Environmental Data

Helsel · Statistics for Censored Environmental Data Using Minitab® and R, Second Edition

McBride · Using Statistical Methods for Water Quality Management: Issues, Problems and Solutions

Ofungwu · Statistical Applications for Environmental Analysis and Risk Assessment

Webster and Oliver · Geostatistics for Environmental Scientists

Industry, Commerce and Finance

Aitken and Taroni · Statistics and the Evaluation of Evidence for Forensic Scientists, Second Edition

Brandimarte · Numerical Methods in Finance and Economics: A MATLAB-Based Introduction, Second Edition

Brandimarte and Zotteri · Introduction to Distribution Logistics

Chan and Wong · Simulation Techniques in Financial Risk Management, Second Edition

Jank · Statistical Methods in eCommerce Research

Jank and Shmueli · Modeling Online Auctions

Lehtonen and Pahkinen · Practical Methods for Design and Analysis of Complex Surveys, Second Edition

Lloyd · Data Driven Business Decisions

Ohser and Mücklich · Statistical Analysis of Microstructures in Materials Science

Rausand · Risk Assessment: Theory, Methods, and Applications

Statistics and the Evaluation of Evidence for Forensic Scientists

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