1: Introduction
2: Overview
3: Uncertainty
4: Exploratory data analysis
5: Experimental design
6: Simple comparative experiments
7: Statistical modelling
8: Survival analysis
9: Time series analysis
10: Spatial statistics
Peter Diggle is Distinguished University Professor of Statistics
and Associate Dean for Research in the School of Health and
Medicine, Lancaster University, Adjunct Professor in the Department
of Biostatistics, Johns Hopkins University School of Public Health
and Adjunct Senior Researcher in the International Research
Institute for Climate and Society, Columbia University. Between
1974 and 1983 he was a Lecturer, then Reader, in Statistics at the
University of
Newcastle upon Tyne. Between 1984 and 1988 he was Senior, then
Principal, then Chief Research Scientist and Chief of the Division
of Mathematics and Statistics at CSIRO, Australia. He has published
nine
books and around 180 articles on these topics in the open
literature. He was awarded the Royal Statistical Society's Guy
Medal in Silver in 1997, is a former editor of the Society's
Journal, Series B and is a Fellow of the American Statistical
Association.
Amanda Chetwynd is Pro-Vice-Chancellor for the Student Experience
and Professor of Mathematics and Statistics at Lancaster
University. Before joining Lancaster University she held a
Post-Doctoral position in the Mathematics Department at the
University of Stockholm. She has published three books and around
80 refereed articles. Amanda was awarded a National Teaching
Fellowship in 2003 and in 2005 led Lancaster's successful bid for a
Postgraduate Statistics Centre of Excellence in Teaching and
Learning.
The authors have a nice writing style and explain all the important
concepts well ... reader/student will gain a good understanding of
the essential aspects of statistics in scientific research.
*Michael R. Chernick, Significance*
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