title: [Learning the structure of DAGs or Bayesian networks with an example from the human bitumen study].
authors.affiliation: Institut für Prävention und Arbeitsmedizin der Deutschen Gesetzlichen Unfallversicherung, Institut der Ruhr-Universität Bochum (IPA), Bochum. lotz@ipa-dguv.de
authors.forename: A
authors.initials: A
authors.lastname: Lotz
authors.forename: M
authors.initials: M
authors.lastname: Raulf-Heimsoth
authors.forename: T
authors.initials: T
authors.lastname: Brüning
authors.forename: B
authors.initials: B
authors.lastname: Pesch
mesh_terms: D000395:Air Pollutants, Occupational / Q000032:analysis*; D000465:Algorithms; D001499:Bayes Theorem; D015984:Causality; D005858:Germany / Q000453:epidemiology; D006801:Humans; D006838:Hydrocarbons / Q000032:analysis*; D016273:Occupational Exposure / Q000706:statistics & numerical data*; D016016:Proportional Hazards Models
chemical_list: D000395:Air Pollutants, Occupational; D006838:Hydrocarbons; C006647:asphalt