title: A new criterion for confounder selection? Neither a confounder nor science.
authors.affiliation: Division of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA.
authors.forename: Eyal
authors.initials: E
authors.lastname: Shahar
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods*; D015986:Confounding Factors, Epidemiologic; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D017063:Outcome Assessment, Health Care / Q000379:methods*; D016016:Proportional Hazards Models