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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2025
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| _version_ | 1852016833226342400 |
|---|---|
| author | Ben Kawam (22209262) |
| author2 | Julia Ostner (342168) Richard McElreath (742708) Oliver Schülke (342167) Daniel Redhead (6996311) |
| author2_role | author author author author |
| author_facet | Ben Kawam (22209262) Julia Ostner (342168) Richard McElreath (742708) Oliver Schülke (342167) Daniel Redhead (6996311) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ben Kawam (22209262) Julia Ostner (342168) Richard McElreath (742708) Oliver Schülke (342167) Daniel Redhead (6996311) |
| dc.date.none.fl_str_mv | 2025-09-08T18:14:23Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pcbi.1013370.t002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Core_elements_of_the_causal_framework_/30080716 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | 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 |
| dc.title.none.fl_str_mv | Core elements of the causal framework. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <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> |
| eu_rights_str_mv | openAccess |
| id | Manara_3ecf4e35d4c00a18dd6fe2ffdcd30a96 |
| identifier_str_mv | 10.1371/journal.pcbi.1013370.t002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30080716 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Core elements of the causal framework.Ben Kawam (22209262)Julia Ostner (342168)Richard McElreath (742708)Oliver Schülke (342167)Daniel Redhead (6996311)EcologyScience PolicyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedtarget interaction networkjoint posterior distributionecological factors shapedysfunctional statistical proceduresbayesian multilevel extensionsunderlying causal structuresmap statistical estimatesencode causal effectssocial relations modeleffects — namelystructural causal modelsdiv >< pdevelop models layerstructural parametersestimates </compute causalcausal inferenceunderstood —social relationshipsaddressed —thereby illustratingsimulation studiesseven stepssampling processesresulting uncertaintyone anothernotoriously challengingmajor goallevel featuresinferential taskincorrect resultshighly dependentexplicitly definesestimators </estimands </empirical examplecausal frameworkbehavioural samplesbehavioural ecologyanimals form<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>2025-09-08T18:14:23ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pcbi.1013370.t002https://figshare.com/articles/dataset/Core_elements_of_the_causal_framework_/30080716CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300807162025-09-08T18:14:23Z |
| spellingShingle | Core elements of the causal framework. Ben Kawam (22209262) 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 |
| status_str | publishedVersion |
| title | Core elements of the causal framework. |
| title_full | Core elements of the causal framework. |
| title_fullStr | Core elements of the causal framework. |
| title_full_unstemmed | Core elements of the causal framework. |
| title_short | Core elements of the causal framework. |
| title_sort | Core elements of the causal framework. |
| topic | 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 |