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Two‐dimensional semiparametric density ratio modeling of testicular germ cell data
Author(s) -
Kedem Benjamin,
Kim Eunyoung,
Voulgaraki Anastasia,
Graubard Barry I.
Publication year - 2009
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.3611
Subject(s) - bivariate analysis , statistics , body mass index , inference , statistical inference , multivariate statistics , mathematics , econometrics , medicine , computer science , artificial intelligence
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. Published in 2009 by John Wiley & Sons, Ltd.