Predictive models aren't for causal inference (Record no. 53609)

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control field MX-MdCICY
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control field 20250625162431.0
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Transcribing agency CICY
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Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-19483
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Title Predictive models aren't for causal inference
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Volume/sequential designation Ecology Letters, 25(8), p.1741-1745, 2022
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Summary, etc. Ecologists often rely on observational data to understand causal relationships. Although observational causal inference methodologies exist, predictive techniques such as model selection based on information criterion (e.g. AIC)remains a common approach used to understand ecological relationships. However, predictive approaches are not appropriate for drawing causal conclusions. Here, we highlight the distinction between predictive and causal inference and show how predictive techniques can lead to biased causal estimates. Instead, we encourage ecologists to valid causal inference methods such as the backdoor criterion, a graphical rule that can be used to determine causal relationships across observational studies.
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Topical term or geographic name entry element BACK-DOOR CRITERION
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Topical term or geographic name entry element CAUSAL INFERENCE
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Topical term or geographic name entry element DIRECTED ACYCLIC GRAPHS (DAGS)
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Topical term or geographic name entry element MODEL SELECTION
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Topical term or geographic name entry element PREDICTION
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Personal name Arif, S.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Macneil, A.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/1LG_sWNGm5_3RZ0pmuLpMCNHawG4zQ2jV/view?usp=drivesdk">https://drive.google.com/file/d/1LG_sWNGm5_3RZ0pmuLpMCNHawG4zQ2jV/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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Source of classification or shelving scheme Clasificación local
Koha item type Documentos solicitados
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-19483 25.06.2025 25.06.2025 Documentos solicitados