Jump to ContentJump to Main Navigation
Statistics and Scientific Method – An Introduction for Students and Researchers - Oxford Scholarship Online
Users without a subscription are not able to see the full content.

Statistics and Scientific Method: An Introduction for Students and Researchers

Peter J. Diggle and Amanda G. Chetwynd


An antidote to technique-oriented service courses, this book studiously avoids the recipe-book style and keeps algebraic details of specific statistical methods to the minimum extent necessary to understand the underlying concepts. Instead, it aims to give the reader a clear understanding of how core statistical ideas of experimental design, modelling, and data analysis are integral to the scientific method. Aimed primarily towards a range of scientific disciplines (albeit with a bias towards the biological, environmental, and health sciences), this book assumes some maturity of understanding ... More

Keywords: statistical methods, core statistical ideas, experimental design, modelling, data analysis, scientific method, statistics, mathematical notation, computer software, R code

Bibliographic Information

Print publication date: 2011 Print ISBN-13: 9780199543182
Published to Oxford Scholarship Online: December 2013 DOI:10.1093/acprof:oso/9780199543182.001.0001


Affiliations are at time of print publication.

Peter J. Diggle, author
Distinguished University Professor of Statistics, Lancaster University; Adjunct Professor of Biostatistics, Johns Hopkins University School of Public Health; Adjunct Senior Researcher, International Research Institute ofr Climate and Society, Columbia University

Amanda G. Chetwynd, author
Pro-Vice-Chancellor, Lancaster University