Environment and Mapping
- Adaptive spatial sampling design for environmental field prediction using low-cost sensing technologies - Michael G Chipeta
- Statistical Challenges in Environmental Monitoring - Jon Barry
- INLA-MRA: A Bayesian inference method for large spatiotemporal datasets - Luc Villandré
- 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
- Mapping disease risk by sharing spatial information between areal-incidence and point-prevalence data - Tim Lucas
- A Model-based Geostatistical Approach for Modelling Spatially Aggregated Misaligned Data - Olatunji Johnson
- A Geostatistical Framework for Combining Spatially Referenced Disease Prevalence Data from Multiple Diagnostics - Benjamin Amoah
- Spatial data on steroids: The Million Deaths Study - Patrick E Brown
Infectious Diseases
- A Bayesian evidence synthesis to estimate trends in HIV prevalence - Anne Presanis
- Schools out, for ever! Understanding the spread of influenza in schools. - Jonathan Read
- Bayesian reconstruction of a spatially heterogeneous epidemic: Characterising the geographic spread of pandemic infection in England - Paul Birrell
- From meteorology to epidemiology via statistics - Rachel Lowe
- Statistical analysis that informs polio eradication - Kath O'Reilly
Vector Diseases
- Probabilistic dengue forecasting using model super-ensembles - Felipe J Colon-Gonzalez
- Disentangling detection in a disease elimination setting - Emily Nightingale
- 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
- Spatial modelling of mosquito-borne diseases: a systematic review of data and methods used to inform spatial connectivity - Sophie Lee
Spatial Statistics Theory
- A (corrected) graphical hypothesis test of spatiotemporal clustering and clustering range estimation for the tau statistic. - Timothy M Pollington
- Spatial model selection and weighting - Evangelos Evangelou
Longitudinal Data
- A Longitudinal Joint Cluster Regression model for Detecting Latent Group Structures - Farhad Hatami
- Joint modelling in health research (JoineR): Methods, Applications and Software - Ruwanthi Kolamunnage-Dona
- Linear Mixed-Effects Models for Non-Gaussian Continuous Repeated Measurement Data - Özgür Asar
- A functional regression model for determining drug-response relationship in cancer genetics - Evanthia Koukouli
- Risk Factors for the Progression of Chronic Kidney Disease in Secondary Care Patients - Alison Hale
Education and Development
- Developing statistics education: what I wish they had taught me - Claudio Fronterre
- Adventures in Health Data Science - Jo Knight