Top Tweets for #IntroToDags
Really enjoyed @PWGTennant's @ukrepro training session yesterday on Introduction to Causal Inference and Directed Acyclic Graphs - very will run and loved the explanatory power of the wiggling animations on the slides! #IntroToDAGs

Fantastic talk today by @PWGTennant promoted by @ukrepro. Key points to remember during causal intepretation of each "independent predictor". Avoid Table 2 Fallacy. #useDAGs #IntroToDAGs #epitwitter #COVID19
https://t.co/BR6RbQ6G5a
BIGGEST TABLE 2 FALLACY EVER
#EpiTwitter, do you remember the discussions around the @OpenSafely Williamson @nature study this summer?
The French @gouvernementFR admitted they used this study's Table 2 to withdraw protections from 100.000s of workers at risk of severe #COVID19!


Understanding the causal directed acyclic graphs with some very interesting examples in #IntrotoDAGs by @PWGTennant . Managed to catch some key slides for #epitwitter

Incredibly interesting workshop. Great food for thought
#IntroToDAGs
One week until:
Introduction to causal inference and directed acyclic graphs.
3 February, 13:00-15:00
Facilitated by @PWGTennant
Info & sign up here: https://t.co/n3d4PiWRCx

Super interesting session on DAG with #introToDAGs
My #IntroToDAGs talk for @ukrepro is today at 1pm.
We're oversubscribed (again - sorry!), but hopefully most people should be able to attend.
If you can't log it, it *IS* being recorded & I'll be sure to share when it's made available. You can also ask Qs through the hashtag.
Very excited to finally understand DAGs #IntroToDAGs
One week until:
Introduction to causal inference and directed acyclic graphs.
3 February, 13:00-15:00
Facilitated by @PWGTennant
Info & sign up here: https://t.co/n3d4PiWRCx

My #IntroToDAGs talk for @ukrepro is today at 1pm.
We're oversubscribed (again - sorry!), but hopefully most people should be able to attend.
If you can't log it, it *IS* being recorded & I'll be sure to share when it's made available. You can also ask Qs through the hashtag.
I'm doing another intro to causal inference & directed acyclic graphs (#DAGs) for the @ukrepro on 3rd Feb at 1pm-3pm UK time (8am-10am Eastern Time).
It's aimed at applied researchers (e.g. psychologists & social scientists). Sign up with the quoted link!🙃
#CausalTwitter
The very technical conclusion from my #IntroToDags workshop today 😎
#EpiTwitter #StatsTwitter #CausalTwitter

@PWGTennant This was my first and will not be the last🤓I like your talk. You made #IntroToDAGs more straightforward and easier to follow 👍🏼
AMAZING live tweet of my #IntroToDags session for @ukrepro! Thanks SO much @LisaDeBruine 😊
#EpiTwitter #StatsTwitter #CausalTwitter
Very interesting and a quick summary on how to draw a DAG. Thank you @PWGTennant for the brilliant presentation. #IntroToDAGs

@PWGTennant Thanks for a great session Peter @PWGTennant . I have many questions, but this slide left me confused. If we “cannot” prove an effect is causal, why do we say it is (do say)? Am I confusing effect and estimate or estimand or… ? #IntroToDAGs


Stop doing univariate screening of "potential confounders", and select them into your model based on p-value cutoffs. There are better methods, such as DAGs. Great advice from @PWGTennant! #IntroToDAGs
#IntroToDAGs I'm more curious about Causal Inference that I was. I'm a DOE/RCT snob, but @PWGTennant makes a great point about the need for causal research when we can't design a randomized experiment. Therefore, we should get better at it .. rather than complain about it (me).
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