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Citation

Liu, Fangyu; Duchesneau, Emilie D.; Lund, Jennifer L.; & Jackson, John W. (2024). A Review of Causal Inference Methods for Estimating the Effects of Exposure Change when Incident Exposure Is Unobservable. Current Epidemiology Reports.

Abstract

Research questions on exposure change and health outcomes are both relevant to clinical and policy decision making for public health. Causal inference methods can help investigators answer questions about exposure change when the first or incident exposure is unobserved or not well defined. This review aims to help researchers conceive of helpful causal research questions about exposure change and understand various statistical methods for answering these questions to promote wider adoption of causal inference methods in research on exposure change outside the field of pharmacoepidemiology.

URL

https://doi.org/10.1007/s40471-024-00343-5

Reference Type

Journal Article

Year Published

2024

Journal Title

Current Epidemiology Reports

Author(s)

Liu, Fangyu
Duchesneau, Emilie D.
Lund, Jennifer L.
Jackson, John W.