title: Proportional likelihood ratio models for mean regression.
abstract: The proportional likelihood ratio model introduced in Luo & Tsai (2011) is adapted to explicitly model the means of observations. This is useful for the estimation of and inference on treatment effects, particularly in designed experiments, and allows the data analyst greater control over model specification and parameter interpretation.
authors.affiliation: Department of Statistics, University of Chicago, Chicago, Illinois 60637, USA.
authors.forename: Alan
authors.initials: A
authors.lastname: Huang
authors.affiliation: Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin 53792, USA.
authors.forename: Paul J
authors.initials: PJ
authors.lastname: Rathouz
keywords: Empirical likelihood; Exponential tilting; Generalized linear models; Multi-way layout; Proportional likelihood ratio model; Quasi-likelihood; Semiparametric model