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Individual Participant Data Meta-Analysis


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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.

       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