title: Applying hierarchical loglinear models to nonfatal underground coal mine accidents for safety management.
abstract: Underground mining is considered to be one of the most dangerous industries and mining remains the most hazardous occupation. Categorical analysis of accident records may present valuable information for preventing accidents. In this study, hierarchical loglinear analysis was applied to occupational injuries that occurred in an underground coal mine. The main factors affecting the accidents were defined as occupation, area, reason, accident time and part of body affected. By considering subfactors of the main factors, multiway contingency tables were prepared and, thus, the probabilities that might affect nonfatal injuries were investigated. At the end of the study, important accident risk factors and job groups with a high probability of being exposed to those risk factors were determined. This article presents important information on decreasing the number accidents in underground coal mines.
authors.affiliation: Department of Mining Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey. monder@ogu.edu.tr.
authors.forename: Mustafa
authors.initials: M
authors.lastname: Onder
authors.affiliation: Department of Mining Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey.
authors.forename: Seyhan
authors.initials: S
authors.lastname: Onder
authors.affiliation: Department of Mining Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey.
authors.forename: Erhan
authors.initials: E
authors.lastname: Adiguzel
mesh_terms: D000062:Accidents, Occupational / Q000706:statistics & numerical data*; D003032:Coal Mining; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D018570:Risk Assessment; D017751:Safety Management