Personalised Decision-Making without Counterfactuals
2023/01/27 by A. P. Dawid, A. Philip Dawid, Stephen Senn +2 · 4 voices · 2 citations
Economics, Econometrics and Finance · Mathematics · #Health Systems, Economic Evaluations, Quality of Life #Advanced Causal Inference Techniques
paper · pdf · doi:10.48550/arxiv.2301.11976
Abstract
This article is a response to recent proposals by Pearl and others for a new approach to personalised treatment decisions, in contrast to the traditional one based on statistical decision theory. We argue that this approach is dangerously misguided and should not be used in practice.
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Discussions
- A salvo against Rubin + Pearl's counterfactual-based approach to causal inference, authored by Dawid and Senn:
"We argue [Pearl's] approach is dangerously misguided and should not be used in practic [bsky, 20 points, 4 comments]
- Has Pearl responded to the recent paper by Dawid and Senn? I scrolled through hit Xitter feed and didn't see anything but he tweets so often maybe it was buried. Any help #statsky or #episky? arxiv.or [bsky, 3 points, 2 comments]
- “Whether or not we believe in a deep-down deterministic universe, our predictions of the future can only be based on the limited information we do have at our disposal, and must necessarily be probabi [bsky, 1 points, 0 comments]
- A very clever, prolific statistician who I look up to recently said to me "I think all statisticians work in the potential outcomes framework, don't they?" I'm not so sure. arxiv.org/abs/2301.11976 [bsky, 1 points, 1 comments]
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