Potential types of bias when estimating causal effects in environmental research and how to interpret them
Crossref DOI link: https://doi.org/10.1186/s13750-024-00324-7
Published Online: 2024-02-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Konno, Ko http://orcid.org/0000-0002-5319-9178
Gibbons, James
Lewis, Ruth
Pullin, Andrew S
Text and Data Mining valid from 2024-02-07
Version of Record valid from 2024-02-07
Article History
Received: 16 May 2023
Accepted: 1 February 2024
First Online: 7 February 2024
Declarations
:
: Not applicable.
: The authors declare that they have no competing interests.