Core elements of the causal framework.

<p>Variables encode assumptions about individual- and dyad-level features on social interactions. See section I in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013370#pcbi.1013370.s001" target="_blank">S1 Text</a> for group-level e...

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Bibliographic Details
Main Author:	Ben Kawam (22209262) (author)
Other Authors:	Julia Ostner (342168) (author), Richard McElreath (742708) (author), Oliver Schülke (342167) (author), Daniel Redhead (6996311) (author)
Published:	2025
Subjects:	Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified target interaction network joint posterior distribution ecological factors shape dysfunctional statistical procedures bayesian multilevel extensions underlying causal structures map statistical estimates encode causal effects social relations model effects — namely structural causal models div >< p develop models layer structural parameters estimates </ compute causal causal inference understood — social relationships addressed — thereby illustrating simulation studies seven steps sampling processes resulting uncertainty one another notoriously challenging major goal level features inferential task incorrect results highly dependent explicitly defines estimators </ estimands </ empirical example causal framework behavioural samples behavioural ecology animals form
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Summary:	<p>Variables encode assumptions about individual- and dyad-level features on social interactions. See section I in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013370#pcbi.1013370.s001" target="_blank">S1 Text</a> for group-level effects. The parameters <i>G</i>, <i>R</i>, and <i>T</i> differ across models and are not defined here.</p>

Core elements of the causal framework.

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