Time Series: A Biostatistical Introduction, 9780198714842
Paperback
Biostatistical time series analysis: Uncover hidden patterns, predict future trends.

Time Series: A Biostatistical Introduction

$142.57

  • Paperback

    288 pages

  • Release Date

    24 December 2024

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Summary

Time Series Analysis for Biostatistics: A Practical Introduction

Time series analysis has surged in importance due to the accessibility of powerful computational tools. Methods once confined to specialized fields like finance and geophysics are now readily available within general statistical packages.

Time Series: A Biostatistical Introduction, Second Edition is an introductory exploration of time series analysis, tailored for applied statisticians in the biomedica…

Book Details

ISBN-13:9780198714842
ISBN-10:019871484X
Author:Prof Peter Diggle, Dr Emanuele Giorgi, Peter Diggle
Publisher:Oxford University Press
Imprint:Oxford University Press
Format:Paperback
Number of Pages:288
Edition:2nd
Release Date:24 December 2024
Weight:488g
Dimensions:235mm x 160mm x 20mm
About The Author

Prof Peter Diggle

Peter Diggle is a Distinguished University Professor Emeritus in the Faculty of Health and Medicine, Lancaster University. He holds Adjunct positions at Johns Hopkins and Yale Universities, and was president of the Royal Statistical Society from July 2014 to December 2016. His publications include 12 books and more than 300 articles on the development and application of statistical methods for spatial and longitudinal data analysis. Awards for his research in these areas include the Royal Statistical Society Guy Medal in Silver (1997), and the Dean’s Medal, Johns Hopkins University School of Public Health (2023).

Dr. Emanuele Giorgi, a Lancaster University Ph.D. graduate in Statistics and Epidemiology (2015), is an Associate Professor in Biostatistics at the Lancaster Medical School. While leading the Centre for Health Informatics, Computing, and Statistics (CHICAS), he specializes in the development of spatial and spatio-temporal statistical methods and their application to tropical diseases epidemiology.

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