COURSE: Introduction to Network Meta-Analysis
DATES: 11th – 12th December 2019
VENUE: Population Health Sciences, University of Bristol, Canynge Hall, 39 Whatley Rd, Bristol. BS8 2PS
_______________________________________________________
COURSE AIMS
The aim of this course is to introduce network meta-analysis and show how the models can be estimated using Stata. Network meta-analysis (NMA) is a method that pools evidence from randomised controlled trials that compare two or more treatments, but where each trial may compare different treatments. NMA allows one to simultaneously estimate relative effectiveness for any pair of treatments in the evidence network.
COURSE OBJECTIVES
By the end of the course participants should be able to:
1. understand what indirect comparisons and network meta-analysis (NMA) are and why they are used;
2. perform indirect comparisons using Stata;
3. perform network meta-analysis using Stata, with continuous and dichotomous data;
4. understand the assumptions made in NMA and use Stat to examine consistency;
5. be aware of different techniques to present the results from NMA;
6. be able to critically appraise a paper that uses NMA.
WHO THE COURSE IS INTENDED FOR
This course is designed for health services researchers, epidemiologists, statisticians, systematic reviewers and decision analysts.
FURTHER DETAILS AND BOOKING
http://www.bristol.ac.uk/medical-school/study/short-courses/introduction-to-network-meta-analysis/
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|