smoothHR-package: Smooth Hazard Ratio Curves Taking a Reference Value

In smoothHR: 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:	1.0.3
Date:	2021-10-06
License:	GPL-3
LazyLoad:	yes
LazyData:	yes

Author(s)

Artur Araújo and Luís Meira-Machado [e-mail]
Maintainer: Artur Araújo [e-mail]

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, Article ID 745742, 11 pages. doi: 10.1155/2013/745742

smoothHR documentation built on Oct. 7, 2021, 9:21 a.m.