Laura Dee @lauradee.bsky.social · 13/12/20244) there a plenty of misconceptions with causal inference that often arise; we address a few in Box 5. Looking forward, we provide a workflow to aid in choosing among different designs given goals, assumptions, and datasets. 5/n 140
Laura Dee @lauradee.bsky.social · 13/12/2024We also propose that some best practices should emerge as a field, collectively. We initiate this process by proposing a few (thanks to our reviewer, Allison Simler-Williamson) in Box 3. Finally, we highlight emerging directions that jive with frontiers and popular approaches in ecology. 6/n 130
Laura Dee @lauradee.bsky.social · 13/12/2024Opportunities & considerations for ecologists to further integrate causal inference w/ synthesis science and meta-analysis to expand generalizability, since these designs prioritize "internal validity, assurance that an estimated effect is as close as possible to the true one, over generalizability) 140
