Peter J. Diggle

Division of Medicine,
Lancaster University,
Lancaster, LA1 4YB,
UK
Phone: 1524-593957
email: p.diggle@lancaster.ac.uk

I play badminton with Mandy, Jono and Hannah, exercise on my rowing machine and cycle less often than I should. I play guitar (folk and blues) and tenor recorder (early music for preference), the latter with an informal recorder consort. I listen to all kinds of music, but particularly like jazz (especially Charlie Parker and John Coltrane) and Italian opera. My boyhood hero was Stirling Moss. I still take an interest in classic cars and historic motor racing. I enjoy cooking and eating. My favourite restaurants include Heathcote's and The Bay Horse. My favourite authors include George Orwell and Nigel Slater.

Mandy's web-page has more photos of family and friends,....


http://www.lancs.ac.uk/staff/diggle/

Research interests

My main methodological research interests are in spatial statistics, longitudinal data analysis and environmental epidemiology. Most of my research is motivated by applications in the biomedical, clinical or health sciences.

Positions held

At Lancaster University: Distinguished University Professor in CHICAS, a research group within the Lancaster Medical School

At University of Liverpool: Professor of Epidemiology and Statistics in the Institute of Infection and Global Health

Elsewhere: Adjunct Professor in the Department of Biostatistics at Johns Hopkins University School of Public Health;
Adjunct Professor in the Department of Biostatistics at Yale University School of Public Health;
Adjunct Senior Researcher in the International Research Institute for Climate and Society at Columbia University; trustee for Biometrika; founding joint editor of Biostatistics;
Chair of the UK Medical Research Council's Strategic Skills Fellowships Panel

Curriculum vitae

My CV gives more details, including publications, grants, ...

Statistics and Scientific Method: an Introduction for Students and Researchers

The web-page for this text-book by Amanda Chetwynd and Peter Diggle includes data-sets, R scripts to reproduce the analyses in the book, and a list of errata.

R

The best resource for R that I have found is Karl Broman's Introduction to R page.

Downloads

Books

Information about my book on geostatistics: Diggle, P.J. and Ribeiro, P.J. Jnr (2007). Model-based Geostatistics. New York: Springer
Information about my book on longitudinal data analysis: Diggle, P.J., Heagerty, P., Liang K-Y. and Zeger, S.L. (2002). Analysis of Longitudinal Data (second edition). Oxford: OUP
Information about my book on spatial point patterns: Diggle, P.J. (2003). Statistical Analysis of Spatial and Spatio-Temporal Point Patterns (third edition, in preparation)
Information about my book on time series analysiss:  Diggle, P.J. (1990). Time Series: a biostatistical introduction. Oxford: OUP.

Lecture notes

PDF lecture-notes on CTM Lecture to third-year medical students
PDF lecture-notes on A Short Course in Longitudinal Data Analysis (ESRC/MRC supported course, Lancaster, June 2011)
Lecture-material on Statistics and Scientific Method (Leahurst, September 2012)
Course materials for University of Liverpool Undergraduate Veterinary Science Statistics
Postscript lecture-notes on Spatial Statistics for Environmental Epidemiology
Instructional material on Geospatial Data in R and Beyond by Barry Rowlingson
Powerpoint slides on Russ Lenth's sample size calculator

Other documents

PDF guide on Converting UK post-codes to (x,y)-coordinates by Michelle Stanton
An analysis of the (thankfully short-lived) proposals to use RAE Metrics in place of peer review
Some Johns Hopkins Biostatistics Tech Reports
Important information for Bayesians who want to impress (a rose by any other name ...)

Data-sets

geostatistical data-sets from Diggle and Ribeiro (2007)
spatial point pattern data-sets from Diggle (2003)
longitudinal data-sets from Diggle, Heagerty, Liang and Zeger (2002)
additional data-sets that may be of interest

Software

Information about spatial point pattern software
Information about geostatistical software
An R function for prevalence estimation using an imperfect test

Demos, animations

Spatial analysis of criminal activity in Lancashire by Irene Kaimi, Peter Diggle and Alexandre Rodrigues
Demo of spatio-temporal disease surveillance (Diggle, P.J., Rowlingson, B. and Su, T-L. (2005). Environmetrics, 16, 423-34)
Adaptive spatio-temporal geostatistical design by Tom Fanshawe
John Snow's cholera map from the 1854 epidemic in Soho, London
(for a cleaned-up version, see page 24 of Tufte (2001) The Visual Display of Quantitative Information)
Animation of gastro-enteric infections in Hampshire, UK, by Barry Rowlingson
Animation of gastro-enteric infections in Hampshire, UK, by Barry Rowlingson
Animation of common tern nesting colony in Delta D'Ebre, Spain by Irene Kaimi, also of first and second of two simulated realisations of fitted model
Animation of campylobacteriosis cases in Preston, UK, by Edith Gabriel and Barry Rowlingson
Animation of the 2001 Foot-and-mouth epidemic in Cumbria, UK, by Barry Rowlingson (Diggle, P.J. (2006). Statistical Methods in Medical Research, 15, 325-336)
Animation of meningits incidence in southern Ethiopia, by Barry Rowlingson
Animation of meningits incidence in the whole of Ethiopia, by Barry Rowlingson
Animation of meningits incidence in Niger, by Barry Rowlingson

Seminars and conferences

Disease Mapping Workshop: Leahurst, November 2013.
ENAR2009 Invited Presidential Address: Statistical Modelling for Real-time Epidemiology.
IGH Retreat, June 2012: Modelling spatio-temporal patterns of disease.
Public Lecture, 8th Bernoulli Society World Congress, July 2012: A Tale of Two Parasites: Geostatistical Modelling for Tropical Disease Mapping.


MERIT meeting, Niamey, Niger, November 2009

The MERIT home page gives you the scientific background, or you can look at some photos of our post-meeting day out.

APTS: Spatial and Longitudinal Data analysis

The Academy for PhD Training in Statistics initiative runs a series of residential courses targeted at first-year postgraduate students who are studying for a PhD in statistics at any UK university. For severalyears, I have taught a course on Spatial and Longitudinal Data analysis as part of this initiative. Course material available here includes:
Preliminary notes and exercises
Lecture course slides
Data-sets
Assessment exercise

Last Modified: 30/10/2013