Thread by @RSSMedSection

Attending #RSS2021Conf this afternoon? @RSSAnnualConf
Check out our invited session with @RSS_IDS @ISEG_LSHTM on addressing statistical and epidemiological issues in global heath.
Auditorium and livestreamed online

https://twitter.com/RSSMedSection/status/1433761207253602307

The first speaker is Emily Webb, speaking about @ISEG_LSHTM and recent work of the group

Work of @ISEG_LSHTM also involves capacity building at research institutes in lower middle income countries and there will be a 50th anniversary symposium next year celebrating the next generation of statisticians and epidemiologists in global research! 🥳

The second speaker is Schadrac Agbla, speaking about statistical methods to estimate average treatment effects in cluster randomised trials with non-adherence

Performance and bias associated with the methods depends on the intra cluster correlation, covariate adjustment, relationship between treatment assigned and treatment received, assumptions made and the number of clusters

The third speaker is Paul Mee speaking about real time analysis of #COVID19 data in Brazil, including the creation of an #Rshiny app for forecasting and understanding changing epidemic dynamics @ISEG_LSHTM
cmmid.github.io/visualisations…

The creation of the app was not without statistical issues.
A range of data visualisations are possible in the app, by region and over time, as well as further analyses such as epidemic progression which can be performed using the data behind the app

The final speaker Neal Alexander, joining live remotely from Columbia speaks about spatial analysis of cluster randomised trials @ISEG_LSHTM

Specifically analysis related to spatial confounding or 'spillover' - i.e. if clusters are geographically close to each other, the effect of the intervention in one cluster may 'spillover' into another nearby