Machine learning in the prediction of human wellbeing
Journal Article - January 10, 2025
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22 records found
An assessment of the utility of a Bayesian framework to improve response propensity modes in longitudinal data
Journal Article - December 19, 2024
Modelling correlation matrices in multivariate data, with application to reciprocity and complementarity of child-parent exchanges of support
Journal Article - December 15, 2024
What if expected outcomes are not the most likely outcomes? Four basic case studies which give pause for thought
Research Paper, University of Toronto Department of Economics Working Papers, 785 - September 23, 2024
Association of latent class analysis-derived multimorbidity clusters with adverse health outcomes in patients with multiple long-term conditions: comparative results across three UK cohorts
Journal Article - August 15, 2024
Modelling correlations among grouped random effects in multilevel models with an application to the estimation of household effects on longitudinal health outcomes
Conference Paper, 38th International Workshop on Statistical Modelling, 14-19 July 2024, Durham University, Durham, UK. - July 15, 2024
A Bayesian interrupted time series framework for evaluating policy change on mental well-being: an application to England’s welfare reform
Journal Article - June 11, 2024
Combining individual- and population-level data to develop a Bayesian parity-specific fertility projection model
Journal Article - March 15, 2024
Clusters of multiple long-term conditions in three UK datasets: a latent class analysis
Journal Article - September 6, 2023
Bayesian interrupted time series for evaluating policy change on mental well-being: an application to England’s welfare reform
Journal Article - June 27, 2023
Latent variable models for multivariate dyadic data with zero inflation: analysis of intergenerational exchanges of family support
Journal Article - June 15, 2023
Machine Learning in the prediction of human wellbeing
Research Paper, University of Oxford Wellbeing Research Centre Working Papers, 2301 - April 15, 2023
Estimating measurement error in longitudinal data using the longitudinal multitrait multierror approach
Journal Article - December 7, 2022
Investigating the application of generalized additive models to discrete-time event history analysis for birth events
Journal Article - October 28, 2022
Estimating mode effects from a sequential mixed-mode experiment using structural moment models
Journal Article - September 15, 2022
Stochastic modelling and projection of age-specific fertility rates -PhD thesis-
Thesis/Degree/Other Honours - June 1, 2021
Evaluating the performance of personal, social, health-related, biomarker and genetic data for predicting an individual’s future health using machine learning: a longitudinal analysis
Journal Article - April 26, 2021
Latent variable models for multivariate dyadic data with zero inflation: analysis of intergenerational exchanges of family support
Journal Article - April 23, 2021
Prediction of attrition in large longitudinal studies: tree-based methods versus multinomial logistic models
Journal Article - March 2, 2021
Parametric models for biomarkers based on flexible size distributions
Journal Article - October 15, 2018
Parametric models for biomarkers based on flexible size distributions
ISER Working Paper Series, 2018-03 - March 8, 2018
Representativeness in panel surveys
Journal Article - June 1, 2017