Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2 
publications
Penalized smoothing splines resolve the curvature identifiability problem in age-period-cohort models with unequal intervals
Published in Statistics in Medicine, 2023
Here we use penalized smoothing splines to resolve a identifcation problem that arises in age-period-cohort models when data comes aggregated in non-uniform widths.
Recommended citation: Gascoigne, Connor & Smith, Theresa. (2023). "Penalized smoothing splines resolve the curvature identifiability problem in age-period-cohort models with unequal intervals." Statistic in Medicine. 42(12).
Download Paper
The effect of immigration policy reform on mental health in people from minoritised ethnic groups in England: an interrupted time series analysis of longitudinal data from the UK Household Longitudinal Study cohort
Published in The Lancet Psychiatry, 2024
Here we use a interrupted time series model fit within a Bayesian hierarchical model to evaluate the effect of the immigration policy reform on minoritised ethnic groups in England.
Recommended citation: Jeffery, Annie & Gascoigne, Connor & Dykxhoorn, Jennifer & Blangiardo, Marta & Geneletti, Sara & Baio, Gianluca & Kirkbride, James B. (2024). "The effect of immigration policy reform on mental health in people from minoritised ethnic groups in England: an interrupted time series analysis of longitudinal data from the UK Household Longitudinal Study cohort." The Lancet Psychiatry. 11(3).
Download Paper
A Bayesian Interrupted Time Series framework for evaluating policy change on mental well-being: An application to England’s welfare reform
Published in Spatial and Spatio-temporal Epidemiology, 2024
Here we use a develop a framework to evaluate the effect of policy on mental health.
Recommended citation: Gascoigne, Connor & Jeffery, Annie & Shao, Zejing & Geneletti, Sara & Kirkbride, James B & Baio, Gianluca & Blangiardo, Marta. (2024). "A Bayesian Interrupted Time Series framework for evaluating policy change on mental well-being: An application to England’s welfare reform." Spatial and Spatio-temporal Epidemiology. 100662.
Download Paper
Estimating Subnational Under-Five Mortality Rates Using a Spatio-Temporal Age-Period-Cohort Model
Published in Spatial and Spatio-temporal Epidemiology, 2024
Here we use an age-period-cohort model extended to account for a complex survey design to model subnational U5MRs in Kenya.
Recommended citation: Gascoigne, Connor & Smith, Theresa & Paige, John & Wakefiled, Jon. (2024). "Estimating Subnational Under-Five Mortality Rates Using a Spatio-Temporal Age-Period-Cohort Model." Spatial and Spatio-temporal Epidemiology. 100708.
Download Paper
Modelling the Spatially Varying Non-Linear Effects of Heat Exposure
Published in ArXiv, 2025
Here we develop a high resolution model to measure the effect of temperature on mortality.
Recommended citation: Chen, Xinyi & Blangiardo, Marta, Gascoigne, Connor & Konstantinoudis, Garyfallos. (2025). "Modelling the Spatially Varying Non-Linear Effects of Heat Exposure." arXiv:2502.20745 Search....
Download Paper
Smooth predictions for age-period-cohort models: a comparison between splines and random process
Published in BMC Medical Research Methodology, 2025
Here we show theoretically and practically how penalised splines and random processes are mathematically but perform differently when predicting.
Recommended citation: Gascoigne, Connor & Reibler, Andrea & Smith, Theresa. (2025). "Smooth predictions for age-period-cohort models: a comparison between splines and random process." BMC Medical Research Methodology. 25(1).
Download Paper
Spatio-temporal trends and socio-environmental determinants of suicides in England (2002–2022): an ecological population-based study
Published in The Lancet Regional Health - Europe, 2025
Here we model suicides in England at small areas and take into account local socio-environemntal risk and protective factors.
Recommended citation: Gascoigne, Connor & Jeffery, Annie & Rotos, Ioannis & Yu, Xuewen & Geneletti, Sara & Davies, Bethan & Baio, Gianluca & Kirkbride, James B & Pitman, Alexandra & Blangiardo, Marta. (2025). "Spatio-temporal trends and socio-environmental determinants of suicides in England (2002–2022): an ecological population-based study." The Lancet Regional Health - Europe.
Download Paper
supervision
Spatio-temporal trends in antidepressant prescribing in England
MSc, Imperial College, School of Public Health, 2023
The Spatial Variation of the Effect of Heat on Mortality in Switzerland
MSc, Imperial College, School of Public Health, 2024
Evaluating the impact of the UK’s 2012 suicide prevention scheme on suicides in England
MSc, Imperial College, School of Public Health, 2025
Investigating the neighbourhood-level effects of air pollution exposure on antidepressant prescriptions in Greater London
MSc, Imperial College, School of Public Health, 2025
talks
Spatio-temporal trend of suicides in England 2002 - 2021
Invited Speaker, Santiago, Chile, 2024
Estimating Subnational Under-Five Mortality Rates Using a Spatio-Temporal Age-Period-Cohort Model
Contributed Speaker, Hasselt, Belgium, 2024
Spatio-temporal trends and socio-environmental determinants of suicides in England (2002–2022): an ecological population-based study
Invited Speaker, Edinburgh, Scotland, 2025
teaching
Bayesian Spatio-temporal Modelling
MSc Course, Imperial College, School of Public Health, 2023
