Discover and read the best of Twitter Threads about #SelectionBias
Most recents (6)
1/
One day everyone will recognize #selectionbias due to a #collider and the world will be a better place.
This time observational studies found a higher risk of omicron reinfection after a 3rd dose of #COVID19 vaccine. As usual, alarms went off.
Can you see the obvious bias?
One day everyone will recognize #selectionbias due to a #collider and the world will be a better place.
This time observational studies found a higher risk of omicron reinfection after a 3rd dose of #COVID19 vaccine. As usual, alarms went off.
Can you see the obvious bias?
2/
Those who receive a booster and get infected are, on average, more susceptible to infection than those who don't receive a booster and get infected.
So no surprise than those who receive a booster and get infected are more likely to get reinfected.
Led by @susanamcorella...
Those who receive a booster and get infected are, on average, more susceptible to infection than those who don't receive a booster and get infected.
So no surprise than those who receive a booster and get infected are more likely to get reinfected.
Led by @susanamcorella...
3/
... we described the bias @bmj_latest with simulations + real data.
We show that a vaccine booster will be associated with higher reinfection risk even if the booster has no harmful effect.
Now the good news: Preventing this #selectionbias is easy...
bmj.com/content/381/bm…
... we described the bias @bmj_latest with simulations + real data.
We show that a vaccine booster will be associated with higher reinfection risk even if the booster has no harmful effect.
Now the good news: Preventing this #selectionbias is easy...
bmj.com/content/381/bm…
@nixtlainc started last year as a side project
Today we reached 1 million downloads🎉
Our goal is to shake the time series industry and make state-of-the-art algorithms available for everyone 🔥
This is how we got there
🧵1/11
#reinventforecasting
Today we reached 1 million downloads🎉
Our goal is to shake the time series industry and make state-of-the-art algorithms available for everyone 🔥
This is how we got there
🧵1/11
#reinventforecasting
@nixtlainc's ecosystem consists (now) of 5 #python libraries
Focus: speed, scalability, and accuracy 🚀
Some features:
* @scikit_learn syntax
* Native support for #spark, @raydistributed, and @dask_dev
* Models! Eg #arima, #LightGBM, #NeuralNetworks, #transformers 🤖
2/11
Focus: speed, scalability, and accuracy 🚀
Some features:
* @scikit_learn syntax
* Native support for #spark, @raydistributed, and @dask_dev
* Models! Eg #arima, #LightGBM, #NeuralNetworks, #transformers 🤖
2/11
We are really proud of the open-source adoption
Repos from Amazon, Mozilla, and DataBricks use us as dependencies 🏄♂️
We have contributions from people working at H20, Microsoft, Google, Facebook, SalesForce, Oracle, Shopify, AT&T, Blueyonder, Stanford, MIT and UCL 🙏
3/11
Repos from Amazon, Mozilla, and DataBricks use us as dependencies 🏄♂️
We have contributions from people working at H20, Microsoft, Google, Facebook, SalesForce, Oracle, Shopify, AT&T, Blueyonder, Stanford, MIT and UCL 🙏
3/11
Coincidentally (not?), I was just telling at my intro to bias talk at @DCEAarhus, that this image makes somewhat regular rounds on here
I took this coincidence a bit too seriously and made a 🧵
#selectionbias #epitwitter
1/n
I took this coincidence a bit too seriously and made a 🧵
#selectionbias #epitwitter
1/n
#selectionbias may be one of the more challenging concepts to understand in epidemiology and ever
#selectionbias #epitwitter
2/n
#selectionbias #epitwitter
2/n
Nothing helps to explain a concept like a good xkcd comic though xkcd.com/2618/
#selectionbias #epitwitter
3/n
#selectionbias #epitwitter
3/n
Hey everyone! Here’s a #tweetorial on our new paper on why we often can’t make #causalinference using #distancetocare as an exposure or instrument! cc: @epiellie
There are 3 problems with #distancetocare as an exposure for estimating causal effects. Let’s walk through them.
The first problem that probably comes to mind is #confounding 🙀Choices about where to live and where to locate care facilities are complicated and depend on a lot of things we might not be able to measure (e.g. socioeconomic status).
The #RevokeArticle50 #RevokeArticle50Petition is the petition that has seen broadest support of any parliamentary petition in UK's political history if I am not wrong. It is inconceivable that among the signatories there are only individuals who voted #Remain in 2016...
Yet, most opinion polls still suggest only a small swing to #Remain. How can we make sense of this?
A remarkable observation from online polls such as the British Election study @besresearch (using @YouGov) is that among participants in these polls, self-reported turnout in the EU referendum is huge -- 92.5% of BES panel wave participants stated that they voted in the #EURef
The SER Communications Committee is starting #TwitterTakeovers (approximately monthly), whereby established #epidemiologists will be in charge of the SER twitter handle for the day.
Don't miss this opportunity to ask questions & get advice from the scientists you admire!
Don't miss this opportunity to ask questions & get advice from the scientists you admire!
.@MariaGlymour will kick things off with the #GlymourTwitterTakeover on Thursday, Nov 1.
Dr. Glymour is the Director of the PhD program @UCSF_Epibiostat, and is especially happy to answer questions about applying to #Epidemiology #phd programs.
#phdchat #phdadvice #phdlife
Dr. Glymour is the Director of the PhD program @UCSF_Epibiostat, and is especially happy to answer questions about applying to #Epidemiology #phd programs.
#phdchat #phdadvice #phdlife
Maria also has expertise on #SocialDeterminantsOfHealth, #CausalInference, #DAGs, #SelectionBias, #stroke, #CognitiveAging, & being an #ExcellentMentor (among other areas).
Start preparing your questions now and use #AskMaria & #GlymourTwitterTakeover so we see your questions!
Start preparing your questions now and use #AskMaria & #GlymourTwitterTakeover so we see your questions!
