#generalizability — Public Fediverse posts

A Five-Year Milestone - Reflections On Advances And Limitations In GeoAI Research
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https://www.acsu.buffalo.edu/~yhu42/papers/2024_AnnalsofGIS_GeoAI.pdf <-- shared 2024 paper
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https://doi.org/10.1016/j.jag.2025.104368 <-- shared 2025 paper
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[GeoAI has changed markedly since this 1st paper was written, but there is still much value in what it states]
#GIS #spatial #mapping #AI #spatialanalysis #GeoAI #theory #perspectives #Giscience #geography #advances #limitations #model #modeling #spatiallyexplicit #realworld #usecase #application #problemsolving #AAG #research #appliedscience #generalizability
@AAG

How Scrutiny and Iteration Made Behavioral Economics Better https://www.chicagobooth.edu/review/how-scrutiny-iteration-made-behavioral-economics-better
"However, direct #replicability should not be confused with #generalizability or universality. While the basic patterns of behavior documented in the original experiments reliably show up in subsequent replications, their magnitudes can vary substantially across contexts. Loss aversion might be stronger in some settings than in others. Understanding this variation has become a central focus of contemporary behavioral economics research. Rather than viewing such #heterogeneity as a challenge to the field’s foundations, researchers increasingly see it as a source of insight into the underlying psychological mechanisms driving behavioral anomalies."
#BehavioralEconomics

3/
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Here we consider estimators to generalize inferences from randomized trials to all trial-eligible individuals:
https://ncbi.nlm.nih.gov/pubmed/30488513

And here we clear some confusions about equivalence of estimators:
https://journals.lww.com/epidem/fulltex

Do you prefer to express your #generalizability assumptions using causal diagrams?

No problem. Led by Issa Dahabreh, here
https://arxiv.org/abs/1906.10792
we use graphs to examine the conditions for generalizability of causal inferences from a #randomizedtrial.

3/
Want more?

Here we consider estimators to generalize inferences from randomized trials to all trial-eligible individuals:
https://ncbi.nlm.nih.gov/pubmed/30488513

And here we clear some confusions about equivalence of estimators:
https://journals.lww.com/epidem/fulltex

Do you prefer to express your #generalizability assumptions using causal diagrams?

No problem. Led by Issa Dahabreh, here
https://arxiv.org/abs/1906.10792
we use graphs to examine the conditions for generalizability of causal inferences from a #randomizedtrial.

3/
Want more?

Here we consider estimators to generalize inferences from randomized trials to all trial-eligible individuals:
https://ncbi.nlm.nih.gov/pubmed/30488513

And here we clear some confusions about equivalence of estimators:
https://journals.lww.com/epidem/fulltex

Do you prefer to express your #generalizability assumptions using causal diagrams?

No problem. Led by Issa Dahabreh, here
https://arxiv.org/abs/1906.10792
we use graphs to examine the conditions for generalizability of causal inferences from a #randomizedtrial.

3/
Want more?

Here we consider estimators to generalize inferences from randomized trials to all trial-eligible individuals:
https://ncbi.nlm.nih.gov/pubmed/30488513

And here we clear some confusions about equivalence of estimators:
https://journals.lww.com/epidem/fulltex

Do you prefer to express your #generalizability assumptions using causal diagrams?

No problem. Led by Issa Dahabreh, here
https://arxiv.org/abs/1906.10792
we use graphs to examine the conditions for generalizability of causal inferences from a #randomizedtrial.

3/
Want more?

Here we consider estimators to generalize inferences from randomized trials to all trial-eligible individuals:
https://ncbi.nlm.nih.gov/pubmed/30488513

And here we clear some confusions about equivalence of estimators:
https://journals.lww.com/epidem/fulltex

Do you prefer to express your #generalizability assumptions using causal diagrams?

No problem. Led by Issa Dahabreh, here
https://arxiv.org/abs/1906.10792
we use graphs to examine the conditions for generalizability of causal inferences from a #randomizedtrial.