title: Reader reaction: Instrumental variable additive hazards models with exposure-dependent censoring.
abstract: Li, Fine, and Brookhart (2015) presented an extension of the two-stage least squares (2SLS) method for additive hazards models which requires an assumption that the censoring distribution is unrelated to the endogenous exposure variable. We present another extension of 2SLS that can address this limitation.
authors.affiliation: Department of Biostatistics and Department of Health Services, University of Washington, Seattle, Washington 98195, U.S.A.. kcgchan@u.washington.edu.
authors.forename: Kwun Chuen Gary
authors.initials: KC
authors.lastname: Chan
mesh_terms: D003198:Computer Simulation; D006801:Humans; D016018:Least-Squares Analysis; D015233:Models, Statistical; D016016:Proportional Hazards Models
keywords: Two-stage residual inclusion; Unmeasured confounding