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Department of Statistical Science (F61)

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Department of Statistical Science (F61)

Bayesian Methods In Health Economics

F61 Bayesian Methods In Health Economics 2024

Description

This residential summer school aims at providing an introduction to Bayesian analysis and Markov Chain Monte Carlo (MCMC) methods using R and MCMC sampling software (such as OpenBUGS and JAGS), as applied to cost-effectiveness analysis and typical models used in health economic evaluations. We will also focus on more recent As such, it is intended for health economists, statisticians, and decision modellers interested in the practice of Bayesian modelling and will be based on a mixture of lectures and computer practicals. The emphasis will be on examples of applied analysis: software and code to carry out the analyses will be provided.

 

Participants are encouraged to bring their own laptops for the practicals. We shall assume a basic knowledge of standard methods in health economics and some familiarity with a range of probability distributions, regression analysis, Markov models and random-effects meta-analysis. However, statistical concepts are reviewed in the context of applied health economic evaluations in the lectures. Lectures and practicals are based on Bayesian Methods in Health Economics (BMHE), The BUGS Book (BB) and Evidence Synthesis for Decision Making in Healthcare (ESDM).

https://gianluca.statistica.it/teaching/summer-school/

Attendee CategoryCost   
1) Students.£1000.00[Read More]
2) Public Sector.£2000.00[Read More]
3) Private Sector.£2500.00[Read More]
Workshops

F61 Workshop “R for Health Technology Assessment” 2024

Description

We are excited to announce the R for Health Technology Assessment (HTA) workshop that will be held on Friday 28th June, Monday 1st and Tuesday 2nd July 2024.

 

Friday 28th will be an in-person day-long, hybrid event hosted at Sheffield Centre for Health and Related Research (SCHARR), University of Sheffield, while the other days will be online only. Our programme will be announced in April. The overall goal is to present interesting and enlightening presentations on the use of R that will engage an audience of those working in the field of health technology assessment and related analysis. Sessions may cover some or all of the following:

 

    New methods and applications for economic modelling using R

    Efficient modelling for economic evaluation using dedicated R packages

    Improving modelling for HTA using R – Lessons from industry & academia

    Teaching economic evaluation and HTA using R

https://r-hta.org/events/workshop/2024

Attendee CategoryCost   
1) Standard Online Only.£50.00[Read More]
2) Low-Middle Income Country/Students Online Only.£10.00[Read More]
3) Standard In Person.£90.00[Read More]
4) Low-Middle Income Country/Students In Person.£65.00[Read More]

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