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The document discusses the distinction between predictive models and causal inference in ecology, emphasizing that predictive techniques, such as model selection based on information criteria, are not suitable for drawing causal conclusions. It advocates for the use of valid causal inference methodologies, like the backdoor criterion, to accurately determine causal relationships from observational data. The authors highlight the importance of understanding these methodologies to avoid biased causal estimate

Author

747621504

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EN