title: Two-dimensional semiparametric density ratio modeling of testicular germ cell data.
abstract: Bivariate semiparametric inference based on a two-dimensional density ratio model is discussed and applied in testing the significance of risk factors regarding testicular germ cell tumors. The results from the joint analysis of height and weight data from a case-control study show that jointly these two factors are significant, whereas body mass index, which is a function of height and weight, is not a significant risk factor.
authors.affiliation: Department of Mathematics and Institute for Systems Research, University of Maryland, College Park, MD 20742, USA. bnk@math.umd.edu
authors.forename: Benjamin
authors.initials: B
authors.lastname: Kedem
authors.forename: Eun-young
authors.initials: EY
authors.lastname: Kim
authors.forename: Anastasia
authors.initials: A
authors.lastname: Voulgaraki
authors.forename: Barry I
authors.initials: BI
authors.lastname: Graubard
mesh_terms: D001699:Biometry / Q000379:methods*; D001827:Body Height; D001835:Body Weight; D016022:Case-Control Studies; D003627:Data Interpretation, Statistical; D006801:Humans; D008297:Male; D015233:Models, Statistical; D009373:Neoplasms, Germ Cell and Embryonal / Q000209:etiology*; D012307:Risk Factors; D013736:Testicular Neoplasms / Q000209:etiology*