The Guardian does a good job presenting the scientific challenge of linking paracetamol to autism. But the politically-motivated “mistrust” framing hides the sloppy research:
• No causal diagram showing dependencies among factors that influence exposure and outcome.
• No proven…
An intervention may help some and harm others—an idea conceptualized by @yudapearl at L3 of the causal hierarchy and further developed by @eliasbareinboim into counterfactual calculus.
An intervention may help some and harm others—an idea conceptualized by @yudapearl at L3 of the causal hierarchy and further developed by @eliasbareinboim into counterfactual calculus.
A Columbia Mailman study provides the first human evidence linking #BreastCancer to a chemical compound once used as an anticancer drug. The research also shows how metabolomics can uncover hidden environmental risks and improve prediction in high-risk women.…
Happy to share that it’s been an exciting season for our team with several NeurIPS papers accepted! These projects span causal representation learning, robust reinforcement learning, causal discovery, and interpretable modeling -- highlighting the development of causal…
A rare personal note. My dear friend Ivo (the dad) has a rare genetic liver disease (PSC) and has, after concerted persuasion from those of us who love him dearly, finally consented to a public appeal for a living donor.
Liver donation is quite miraculous in that one can give…
RCT enthusiasts often confuse randomized with random.
When they say “randomized”, they usually mean the assignment mechanism acts as if it draws from some probability distribution. But strictly speaking, the probability of each RCT event depends on being drawn from the…
RCT enthusiasts often confuse randomized with random.
When they say “randomized”, they usually mean the assignment mechanism acts as if it draws from some probability distribution. But strictly speaking, the probability of each RCT event depends on being drawn from the…
The reasoning in the paper is, unsurprisingly, based on the notion of a study unit — the entity we seek to describe.
In my #causality course, we spend considerable time on this point, using an operational definition: a study unit is an entity we apply an intervention to and then…
The reasoning in the paper is, unsurprisingly, based on the notion of a study unit — the entity we seek to describe.
In my #causality course, we spend considerable time on this point, using an operational definition: a study unit is an entity we apply an intervention to and then…
I’m currently reading an exceptional paper by Mugur-Schächter on the probabilities of elementary events, a true breakthrough in overcoming Kolmogorov’s aporia: an intellectual impasse in connecting the axiomatic foundations of probability theory and its practical application to…
Every now and then, the causal inference community gets approached by EBM whisperers calling for “synergism,” “togetherness,” and “unitedness.” 🙃
But the words of Ulyanov-Lenin come to mind:
«Прежде, чем объединяться, и для того, чтобы объединиться, мы должны сначала…
causally informed standards in healthcare and medicine
Isn’t it time? Reasoning is there. Methods exist. Books are out. Words are spoken.
So what’s the hold-up?
от плод их познаете их
I’m reading Communication Power by Manuel Castells.
He points out that in modern life, communication itself is often treated as a control signal.
I take it to mean that when someone says “Evidence-based medicine,” it is generally understood as an algorithm that will end up at…
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Research on causal inference, causal discovery, generative AI, info theory, online learning.
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