www.nature.com/articles/s41...
This is a great new ETP editorial by my coauthor Mikko Rönkkö, Markku Maula, and Karl Wennberg, illustrating the massive false positives problem in Qualitative Comparative Analysis (QCA). doi.org/10.1177/1042...
This is a great new ETP editorial by my coauthor Mikko Rönkkö, Markku Maula, and Karl Wennberg, illustrating the massive false positives problem in Qualitative Comparative Analysis (QCA). doi.org/10.1177/1042...
This time I dip my toes into causal inference for quasi-experiments using matching methods, and my use case has missing data complications. Many thanks to @dingdingpeng.the100.ci and
@noahgreifer.bsky.social
for their peer review! #RStats
This time I dip my toes into causal inference for quasi-experiments using matching methods, and my use case has missing data complications. Many thanks to @dingdingpeng.the100.ci and
@noahgreifer.bsky.social
for their peer review! #RStats
One of the most important voices at the intersection of causality, philosophy and dynamical systems.
#CausalSky
Also check out this recent paper on discrimination: www.cambridge.org/core/journal...
One of the most important voices at the intersection of causality, philosophy and dynamical systems.
#CausalSky
.or "The Truth is Simple"
The complexity of the description of a dog resting in a position that isn't clearly captured by common-sense terms forces us to use more words to accurately convey the scene
1/ 👇🏼
#CausalSky
.or "The Truth is Simple"
The complexity of the description of a dog resting in a position that isn't clearly captured by common-sense terms forces us to use more words to accurately convey the scene
1/ 👇🏼
#CausalSky
Learn more ➡️ i2db.wustl.edu/calendar_eve...
#WashUMed #Datathon #RegisterToday
Learn more ➡️ i2db.wustl.edu/calendar_eve...
#WashUMed #Datathon #RegisterToday
doi.org/10.1080/0018...
Figure 1. A Stepwise Illustration of Ethnographic Research Conceptualization and Design to Strengthen Causal Inference.
doi.org/10.1080/0018...
Figure 1. A Stepwise Illustration of Ethnographic Research Conceptualization and Design to Strengthen Causal Inference.
No.
There's a great overview, which is from this paper: arxiv.org/abs/2211.08943
My take: I prefer interpretability since the term explainability is too strong.
No.
There's a great overview, which is from this paper: arxiv.org/abs/2211.08943
My take: I prefer interpretability since the term explainability is too strong.
But then I found the paper "Mechanistic?" by
@nsaphra.bsky.social and @sarah-nlp.bsky.social, which clarified things.
But then I found the paper "Mechanistic?" by
@nsaphra.bsky.social and @sarah-nlp.bsky.social, which clarified things.
Too good to be true?
1/n 👇🏼
#causality #CausalSky #causaldiscovery #machinelearning
Too good to be true?
1/n 👇🏼
#causality #CausalSky #causaldiscovery #machinelearning
#CausalSky #EpiSky #MachineLearning #DataScience #Statistics
#CausalSky #EpiSky #MachineLearning #DataScience #Statistics
(This time I was invited to review a very well-written commentary highlighting the issue in another study, so that was a pleasant experience)