Potential types of bias when estimating causal effects in environmental research and how to interpret them.

ABSTRACT: To inform environmental policy and practice, researchers estimate effects of interventions/exposures by conducting primary research (e.g., impact evaluations) or secondary research (e.g., evidence reviews). If these estimates are derived from poorly conducted/reported research, then they could misinform policy and practice by providing biased estimates. Many types of bias have been described, especially in health and medical sciences. We aimed to map all types of bias from the literature that are relevant to estimating causal effects in the environmental sector. All the types of bias were initially identified by using the Catalogue of Bias (catalogofbias.org) and reviewing key publications (n = 11) that previously collated and described biases. We identified 121 (out of 206) types of bias

SUBMITTER: Konno K 

PROVIDER: S-EPMC11376104 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature