Work

Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality

Year: 2022

Type: article

Source: Journal of Agricultural Biological and Environmental Statistics

DOI: 10.1007/s13253-022-00508-z

Authors: Kevin P. Josey, Priyanka deSouza, Xiao Wu, Danielle Braun, Rachel Nethery

Institutions: Harvard University, University of Colorado Denver, Stanford University, Dana-Farber Cancer Institute

Language: English

Topic: Statistical Methods in Epidemiology

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Health Effects Institute, National Institutes of Health, National Institute of Environmental Health Sciences

Awards: G1498773431, G1573701300, Relationship Between Multiple Environmental Exposures and CVD Incidence and Survival: Vulnerability and Susceptibility, G2203425516, Causal machine learning methods for studying the effects of environmental exposures on childhood cancer using natural experiments, Casual Inference with Interference for Evaluating Air Quality Policies, G4869648682, G8661384362, G9000236673, G9000260128, Graduate Training in Biostatistics

OpenAlex ID: W3202205457

FWCI: 3.889

Cites: 54

Cited by: 23

Related to: 10