Bayesian learning of forest and tree graphical models

Autor: Jones, Edmund

In Bayesian learning of Gaussian graphical model structure, it is common to restrict attention to certain classes of graphs and approximate the posterior distribution by repeatedly moving from one graph to another, using MCMC or methods such as stoch

Externí odkaz: http://arxiv.org/abs/2108.13992

A method making fewer assumptions gave the most reliable estimates of exposure–outcome associations in stratified case–cohort studies

Autor: Jones, Edmund, Sweeting, Michael J., Sharp, Stephen J., Thompson, Simon G.

Publikováno v: In Journal of Clinical Epidemiology December 2015 68(12):1397-1405

Cchs: An R Package for Stratified Case-Cohort Studies.

Autor: Jones, Edmund¹ edmundjones79@gmail.com

Publikováno v: R Journal. Jul2018, Vol. 10 Issue 1, p484-494. 11p.

Discrete Event Simulation for Decision Modeling in Health Care: Lessons from Abdominal Aortic Aneurysm Screening

Autor: Glover, Matthew J, Jones, Edmund, Masconi, Katya L, Sweeting, Michael J, Thompson, Simon G, SWAN Collaborators, SWAN Collaborative Group

Markov models are often used to evaluate the cost-effectiveness of new healthcare interventions but they are sometimes not flexible enough to allow accurate modeling or investigation of alternative scenarios and policies. A Markov model previously de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2971aec4223e9096298ed5ec76657de

A comparison of Cox and logistic regression for use in genome-wide association studies of cohort and case-cohort design

Autor: Staley, James R, Jones, Edmund, Kaptoge, Stephen, Butterworth, Adam S, Sweeting, Michael J, Wood, Angela M, Howson, Joanna MM

Publikováno v: Staley, J R, Jones, E, Kaptoge, S, Butterworth, A S, Sweeting, M J, Wood, A M & Howson, J MM 2017, ' A comparison of Cox and logistic regression for use in genome-wide association studies of cohort and case-cohort design ', European Journal of Human Genetics, vol. 25, 25, pp. 854-862 . https://doi.org/10.1038/ejhg.2017.78

Logistic regression is often used instead of Cox regression to analyse genome-wide association studies (GWAS) of single nucleotide polymorphisms (SNPs) and disease outcomes with cohort and case-cohort designs, as it is less computationally expensive.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6103a3b74e8cb5398cb45f205277b53d
https://www.repository.cam.ac.uk/handle/1810/265036