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Department of Statistical Science (F61)

FOR ALL QUERIES PLEASE USE THE CONTACT TABS FOUND IN EACH OF THE INDIVIDUAL COURSES/CONFERENCES AND PRODUCTS, PLEASE ONLY CONTACT THE ONLINE STORE DIRECTLY IF YOU ARE EXPERIENCING PAYMENT DIFFICULTIES

Department of Statistical Science (F61)

Online Courses

F61 Practical Statistics for Medical Research 2023

Description

Medical statistics plays an essential role in all stages of a quantitative health care research project from design through to analysis and interpretation. This intensive course covers the essential principles and methods required. Emphasis is on study design, appropriate analysis, and interpretation of results. The underlying concepts of statistical analysis as well as basic and some more advanced analysis techniques are covered. Sessions include lectures and practical work, both computer based (using Stata) and using small workshops for discussion. The course has been running for more than 30 years and has earned an international reputation.

www.ucl.ac.uk/statistics/psmr

Attendee CategoryCost   
Special Rate UCL Awards Only.£200.00[Read More]
Standard Rate (Commercial Sector).£750.00[Read More]
Standard Rate (Public Sector).£550.00[Read More]
Bayesian Methods In Health Economics

F61 Bayesian Methods In Health Economics 2023

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.

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

Attendee CategoryCost   
1) Students.£900.00[Read More]
2) Public Sector.£1800.00[Read More]
3) Private Sector .£2200.00[Read More]

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