The case for GLP-1 drugs like Ozempic possibly causing blindness is building. A new paper out this week describes several ...

Every couple of years it seems like another wave of stories emerge claiming picking your nose is a major causal factor in the ...

One of the primary challenges with causalAI lies in its complexity. CausalAI requires a deep understanding of causal inference and advanced statistical techniques, making it less accessible to most AI ...

The way that a lot of normal science proceeds is that a hypothesis is proposed and then tested. For example, let’s say that a ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

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In this article, we establish an SAR ATR model based on causal theory. It compares the causal effect of SAR ATR between cases with ample and limited data, showing that the negative impact of the ...

(4) The statistical analyses are a particularly strong aspect of the paper. Weaknesses: Based on the current analyses, it is not yet possible to rule out the hypothesis that inferring illness causes ...