Network Meta-Analysis in Stata

About

The Network Meta-Analysis offers participants the opportunity to acquire both the theoretical and applied toolkit necessary to carry out a systematic review of scientific literature through a network meta-analysis. The network meta-analysis approach allows researchers to combine both direct and indirect evidence, relating to studies that compare different sets of treatments. The course focuses on the network meta-analysis commands currently available in Stata, through some user-contributed commands to perform a network meta-analysis in Stata 19.

In line with TStat’s general philosophy, the course has been developed to be interactive and largely applied in nature, restructured into a series of separate modules in order to facilitate the transition to an effective online teaching format. Despite the online nature of this course, participants will be able to both replicate the commands illustrated by the lecturer in real time using the databases provided at the beginning of the course and be expected to take part in applied data sections

COURSE OUTCOME:
At the end of the course, participants are expected to:

understand the fundamental concepts and principles of network meta-analysis;
have attained an understanding of “real world” data issues related to network meta-analysis through the applied sections of the course; and
be able to carry out a network meta-analysis (with the help of the Stata routine templates specifically developed for the course) independently, implementing the Stata network meta-analysis commands illustrated during the course in their own research context

Target group

This course is of particular interest to graduate students, academic researchers and professionals working in the public health and medical sectors

Fee info