title: Global tests in the additive hazards regression model.
abstract: In this article, we discuss testing for the effect of several covariates in the additive hazards regression model. Bhattacharyya and Klein (Statist. Med. 2005; 24(14):2235-2240) note that an ad hoc weight function suggested by Aalen (Statist. Med. 1989; 8:907-925) is inconsistent when used as a global test for comparing groups since the test statistic depends on which group is used as the baseline group. We will suggest a simple alternative test that does not exhibit this problem. This test is a natural extension of the logrank test. We shall also discuss an alternative covariance estimator. The tests are applied to a data set and a simulation study is performed.
authors.affiliation: Department of Mathematics, Imperial College London, London, UK. a.gandy@imperial.ac.uk
authors.forename: Axel
authors.initials: A
authors.lastname: Gandy
authors.forename: Terry M
authors.initials: TM
authors.lastname: Therneau
authors.forename: Odd O
authors.initials: OO
authors.lastname: Aalen
mesh_terms: D000704:Analysis of Variance; D003627:Data Interpretation, Statistical; D006801:Humans; D053208:Kaplan-Meier Estimate; D007822:Laryngeal Neoplasms / Q000401:mortality; D008297:Male; D016016:Proportional Hazards Models; D012044:Regression Analysis; D016019:Survival Analysis