smoothHR-package {smoothHR} | R Documentation |
Smooth Hazard Ratio Curves Taking a Reference Value
Description
Provides flexible hazard ratio curves allowing non-linear relationships between continuous predictors and survival. To better understand the effects that each continuous covariate has on the outcome, results are expressed in terms of hazard ratio curves, taking a specific covariate value as reference. Confidence bands for these curves are also derived.
Details
Package: | smoothHR |
Type: | Package |
Version: | 1.0.5 |
Date: | 2024-02-25 |
License: | GPL-3 |
LazyLoad: | yes |
LazyData: | yes |
Author(s)
Artur Araújo and Luís Meira-Machado lmachado@math.uminho.pt
Maintainer: Artur Araújo artur.stat@gmail.com
References
Cadarso-Suarez, C. and Meira-Machado, L. and Kneib, T. and Gude, F. (2010). Flexible hazard ratio curves for continuous predictors in multi-state models: an application to breast cancer data. Statistical Modelling, 10(3), 291-314. doi:10.1177/1471082X0801000303
Eilers, Paul H. and Marx, Brian D. (1996). Flexible smoothing with B-splines and penalties. Statistical Science, 11(2), 89-121. doi:10.1214/ss/1038425655
Hosmer, D. W. and Lemeshow, S. and May, S. (2008). Applied Survival Analysis: Regression Modeling of Time to Event Data: Second Edition, John Wiley and Sons Inc., New York, NY.
Hurvich, C. M. and Simonoff, J. S. and Tsai, Chih-Ling (1998). Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion. JRSSB, 60(2), 271-293. doi:10.1111/1467-9868.00125
Meira-Machado, L. and Cadarso-Suárez, C. and Gude, F. and Araújo, A. (2013). smoothHR: An R Package for Pointwise Nonparametric Estimation of Hazard Ratio Curves of Continuous Predictors. Computational and Mathematical Methods in Medicine, 2013, 11 pages. doi:10.1155/2013/745742