Odds per Adjusted Standard Deviation: Comparing Strengths of Associations for Risk Factors Measured on Different Scales and Across Diseases and Populations
John L Hopper
AMERICAN JOURNAL OF EPIDEMIOLOGY | OXFORD UNIV PRESS INC | Published : 2015
How can the "strengths" of risk factors, in the sense of how well they discriminate cases from controls, be compared when they are measured on different scales such as continuous, binary, and integer? Given that risk estimates take into account other fitted and design-related factors-and that is how risk gradients are interpreted-so should the presentation of risk gradients. Therefore, for each risk factor X0, I propose using appropriate regression techniques to derive from appropriate population data the best fitting relationship between the mean of X0 and all the other covariates fitted in the model or adjusted for by design (X1, X2, … , Xn). The odds per adjusted standard deviation (OPERA..View full abstract
Awarded by National Health and Medical Research Council of Australia
Awarded by US National Institutes of Health
Awarded by NATIONAL CANCER INSTITUTE
J.L.H. has received financial support from the National Health and Medical Research Council of Australia (grant APP102434), the US National Institutes of Health (grants UM1 CA164920, 5 R01 CA159868, UM1 CA167551-01A1, and R01 CA168893), and Seoul National University (Seoul, South Korea).