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Hi all,
I really enjoyed #ESMARConf2021.
A big thank you to the organizers and great presenters!
Now that I had some time to let all the impressions sink in I want to share (at least) 6 ways my workflow will change based on the things I learned!
I really enjoyed #ESMARConf2021.
A big thank you to the organizers and great presenters!
Now that I had some time to let all the impressions sink in I want to share (at least) 6 ways my workflow will change based on the things I learned!
1. I will look out for (semi-)automated title and abstract screening tools in ~1 year as software capabilities seem to be quickly accelerating.
I will also play with @nealhaddaway GScraper to see if I might have missed some grey literature! https://twitter.com/nealhaddaway/status/1315254961991815168
I will also play with @nealhaddaway GScraper to see if I might have missed some grey literature! https://twitter.com/nealhaddaway/status/1315254961991815168
2. I will use R packages that make title/abstract/duplicate screening much easier and reproducible like @westgatecology´s revtools or @LajeunesseLab´s metaGear.
https://cran.r-project.org/web/packages/metagear/index.html
https://www.revtools.net/
https://revtools.net/
https://cran.r-project.org/web/packages/metagear/index.html
https://www.revtools.net/
https://revtools.net/
3. I want to develop my skillset in the direction @vawelch sketched out in her talk on the future of evidence synthesis:
Automation
Crowdsourcing
Living reviews
Gap maps
Automation
Crowdsourcing
Living reviews
Gap maps
4. Join the open synthesis movement
I want to learn more about and get involved with the open synthesis movement spearheaded by @nealhaddaway to merge open science with research synthesis
I want to learn more about and get involved with the open synthesis movement spearheaded by @nealhaddaway to merge open science with research synthesis
5. I want to play with the multinma R package
Super interesting new R package by @dmphillippo for Bayesian network meta-analysis that can include both individual patient data and aggregate data at the same time!
Talk
https://www.youtube.com/watch?t=652&v=d4ufa__hGbY&feature=youtu.be&ab_channel=ESMARConf
Super interesting new R package by @dmphillippo for Bayesian network meta-analysis that can include both individual patient data and aggregate data at the same time!
Talk
https://www.youtube.com/watch?t=652&v=d4ufa__hGbY&feature=youtu.be&ab_channel=ESMARConf
6. I will use @wviechtb´s new selmodel() function to investigate publication bias.
https://wviechtb.github.io/metafor/reference/selmodel.html
https://wviechtb.github.io/metafor/reference/selmodel.html
