Work

Detecting Patterns of Occupational Illness Clustering with Alternating Logistic Regressions Applied to Longitudinal Data

Year: 2003

Type: article

Source: American Journal of Epidemiology

DOI: 10.1093/aje/kwg169

Author: J. S. Preisser

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDGs: Good health and well-being, Decent work and economic growth

Open Access status: closed

Funder: National Institute for Occupational Safety and Health

Award: G4172128272

OpenAlex ID: W2134717052

FWCI: 3.835

Cites: 24

Cited by: 61

Related to: 10