title: On the application of linear relative risk regression models.
abstract: Motivations for considering linear relative risk models are described. These include covariate data reduction and the testing of additivity of covariate effects on the relative risk. A simulation study was conducted in order to study properties of asymptotic distributional approximations and iterative convergence properties. Parameter transformations and likelihood ratio approximations are considered for confidence interval calculation.
mesh_terms: D000704:Analysis of Variance; D002986:Clinical Trials as Topic / Q000379:methods*; D006801:Humans; D012044:Regression Analysis; D012107:Research Design; D012306:Risk