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Sep 8, 2021 9 tweets 6 min read Read on X
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
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

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More from @RSSMedSection

Sep 8, 2021
Attending #RSS2021Conf this morning?
Check out our Professional Development session on peer reviewing for clinical journals
10:50am, Exchange 11 and online
@I_M_Stratton @ebhcmedstats @MonaKanaan3 @CateyBunce @sjn_16 @RSSAnnualConf
Starting now! Our first speaker is @I_M_Stratton, reflecting on her passion for peer reviewing for clinical journals and the inspiration for this session
Next, our #Medical section chair @MonaKanaan3 sharing some real peer review comments she has received. How dare she use so many complicated statistics?! 🤯
Read 11 tweets
Sep 7, 2021
If you are at #RSS2021Conf this morning, check out our invited session on Contagious disease #statistics and #misinterpretation of #COVID dynamics and data with @AdamJKucharski and @AyisSalma
11:40am, Exchange 10
First speaker is @AyisSalma, reflecting on the subtle but important difference of what we think and what data are.
#COVID19 statistics are easily misinterpreted Image
Statistical anomalies in calculations of #COVID19 infections and deaths meant it appeared that no-one ever recovered!
And these figures influenced government #publichealth decisions Image
Read 11 tweets

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