Statistics and Scientific Method: An Introduction for Students and Researchers

Paperback | September 11, 2011

byPeter J. Diggle, Amanda G. Chetwynd

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Most introductory statistics text-books are written either in a highly mathematical style for an intended readership of mathematics undergraduate students, or in a recipe-book style for an intended audience of non-mathematically inclined undergraduate or postgraduate students, typically in asingle discipline; hence, "statistics for biologists", "statistics for psychologists", and so on.An antidote to technique-oriented service courses, this book is different. It 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, the text aims to give the reader a clearunderstanding of how core statistical ideas of experimental design, modelling and data analysis are integral to the scientific method. Aimed primarily at beginning postgraduate students across a range of scientific disciplines (albeit with a bias towards the biological, environmental and health sciences), it therefore assumes some maturity of understanding of scientific method, but does not require any prior knowledge ofstatistics, or any mathematical knowledge beyond basic algebra and a willingness to come to terms with mathematical notation.Any statistical analysis of a realistically sized data-set requires the use of specially written computer software. An Appendix introduces the reader to our open-source software of choice, R, whilst the book's web-page includes downloadable data and R code that enables the reader to reproduce all ofthe analyses in the book and, with easy modifications, to adapt the code to analyse their own data if they wish. However, the book is not intended to be a textbook on statistical computing, and all of the material in the book can be understood without using either R or any other computersoftware.

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Most introductory statistics text-books are written either in a highly mathematical style for an intended readership of mathematics undergraduate students, or in a recipe-book style for an intended audience of non-mathematically inclined undergraduate or postgraduate students, typically in asingle discipline; hence, "statistics for bio...

Peter Diggle is a Distinguished University Professor of Statistics and Associate Dean for Research in the School of Health and Medicine at Lancaster University, Adjunct Professor in the Department of Biostatistics at Johns Hopkins University School of Public Health and Adjunct Senior Researcher in the International Research Institute f...

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Format:PaperbackDimensions:192 pages, 9.21 × 6.14 × 0.51 inPublished:September 11, 2011Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199543194

ISBN - 13:9780199543199

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Table of Contents

1. Introduction2. Overview3. Uncertainty4. Exploratory data analysis5. Experimental design6. Simple comparative experiments7. Statistical modelling8. Survival analysis9. Time series analysis10. Spatial statistics