Conference Cancelled

Because of the risk of COVID-19 virus transmission and advice on assembly and movement of people, we have had to cancel the conference. Advice on refunds for people already registered will be sent by email.

We may revive the conference at some point in the future, so please look out for announcements.

Programme

This is the first provisional detailed timetable. There is also a list of talks by subject.


Wednesday 15th Thursday 16th Friday 17th
09:00
Registration Registration
09:30
Intro Intro
09:40
Invited Speaker
Applied Statistics in Africa with Peter Diggle : James Chirombo, Malawi Liverpool Wellcome Trust
Invited Speaker
TBA : Madeleine Thomson, Wellcome Trust
10:00
10:20
1
Session 3
infections
From meteorology to epidemiology via statistics : Rachel Lowe
1
Session 7
longitudinal
Linear Mixed-Effects Models for Non-Gaussian Continuous Repeated Measurement Data : Özgür Asar
10:40
2
infections
Statistical analysis that informs polio eradication : Kath O'Reilly
2
longitudinal
A Longitudinal Joint Cluster Regression model for Detecting Latent Group Structures : Farhad Hatami
11:00 Registration

Come to the George Fox Building to register for the conference.
3
infections
Bayesian reconstruction of a spatially heterogeneous epidemic: Characterising the geographic spread of pandemic infection in England : Paul Birrell
3
longitudinal
A functional regression model for determining drug-response relationship in cancer genetics : Evanthia Koukouli
11:20 Break Break
11:40
1
Session 4
infections
A Bayesian evidence synthesis to estimate trends in HIV prevalence : Anne Presanis
1
Session 8
environment and mapping
Statistical Challenges in Environmental Monitoring : Jon Barry
12:00
2
infections
Schools out, for ever! Understanding the spread of influenza in schools. : Jonathan Read
2
environment and mapping
INLA-MRA: A Bayesian inference method for large spatiotemporal datasets : Luc Villandré
12:20
3
theory
A (corrected) graphical hypothesis test of spatiotemporal clustering and clustering range estimation for the tau statistic. : Timothy M Pollington
3
environment and mapping
Spatial data on steroids: The Million Deaths Study : Patrick E Brown
12:40
4
environment and mapping
A Model-based Geostatistical Approach for Modelling Spatially Aggregated Misaligned Data : Olatunji Johnson 		Closing Session
13:00 Lunch Lunch
13:20
13:40
14:00 Intro Intro
14:20
Invited Speaker
When geography collides with statistics: some personal reflections on the contributions of Peter Diggle : Tony Gatrell, Lancaster University
Invited Speaker
Honoring The Global Statistician of Our Time : Scott Zeger, Johns Hopkins School of Public Health
14:40
15:00
1
Session 1
education
Developing statistics education: what I wish they had taught me : Claudio Fronterre
1
Session 5
environment and mapping
Mapping disease risk by sharing spatial information between areal-incidence and point-prevalence data : Tim Lucas
15:20
2
longitudinal
Risk Factors for the Progression of Chronic Kidney Disease in Secondary Care Patients : Alison Hale
2
environment and mapping
A Geostatistical Framework for Combining Spatially Referenced Disease Prevalence Data from Multiple Diagnostics : Benjamin Amoah
15:40
3
longitudinal
Joint modelling in health research (JoineR): Methods, Applications and Software : Ruwanthi Kolamunnage-Dona
3
theory
Spatial model selection and weighting : Evangelos Evangelou
16:00 Break Break
16:20
1
Session 2
vectors
Probabilistic dengue forecasting using model super-ensembles : Felipe J Colon-Gonzalez
1
Session 6
environment and mapping
Geostatistical analysis, web-based mapping and environmental determinants of under-five chronic malnutrition (stunting): evidence from the 2014 Ghana Demographic and Health Survey : Justice Moses Kwaku Aheto
16:40
2
vectors
Spatial modelling of mosquito-borne diseases: a systematic review of data and methods used to inform spatial connectivity : Sophie Lee
2
environment and mapping
Adaptive spatial sampling design for environmental field prediction using low-cost sensing technologies : Michael G Chipeta
17:00
3
vectors
Using animal activity and abundance to estimate ‘rattiness’ and predict Leptospira infection risk: A multivariate geostatistical framework for combining multiple indices of abundance and activity : Max Eyre
3
education
Adventures in Health Data Science : Jo Knight
17:20
4
vectors
Disentangling detection in a disease elimination setting : Emily Nightingale 		Day Summary




Evening World Food Event Conference Banquet
Invited Speaker
After Dinner : Deborah Ashby, Director of the School of Public Health, Imperial College London