title: All else being equal, men and women are still not the same: using risk models to understand gender disparities in care.
authors.affiliation: From the Predictive Analytics and Comparative Effectiveness (PACE) Center, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA (J.K.P., D.M.K.); and Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN (N.D.S.). jpaulus@tuftsmedicalcenter.org.
authors.forename: Jessica K
authors.initials: JK
authors.lastname: Paulus
authors.affiliation: From the Predictive Analytics and Comparative Effectiveness (PACE) Center, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA (J.K.P., D.M.K.); and Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN (N.D.S.).
authors.forename: Nilay D
authors.initials: ND
authors.lastname: Shah
authors.affiliation: From the Predictive Analytics and Comparative Effectiveness (PACE) Center, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA (J.K.P., D.M.K.); and Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN (N.D.S.).
authors.forename: David M
authors.initials: DM
authors.lastname: Kent
mesh_terms: D002318:Cardiovascular Diseases / Q000628:therapy*; D005260:Female; D054625:Healthcare Disparities; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D018570:Risk Assessment; D012727:Sex Characteristics
keywords: cardiovascular models; gender identity; health disparities; physician's practice patterns; sex; women