Work

Mixed Model-Based Hazard Estimation

Year: 2002

Type: article

Abstract: This article proposes a new method for estimation of the hazard function from a set of censored failure time data, with a view to extending the general approach to more complicated models. The approach is based on a mixed model representation of penalized spline hazard estimators. One payoff is the automation of the smoothing parameter choice through restricted maximum likelihood. Another is the option to use standard mixed model software for automatic hazard estimation.

Source: Journal of Computational and Graphical Statistics

DOI: 10.1198/106186002321018786

Authors: T. Cai, R. J. Hyndman, M. P. Wand

Institutions: Harvard University, University of Washington, Monash University

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute of Allergy and Infectious Diseases

Awards: G209871360, G9000005117