| flexOR-package {flexOR} | R Documentation |
flexOR: Flexible Odds Ratio Curves
Description
Provides flexible odds ratio curves that enable modeling non-linear relationships between continuous predictors and binary outcomes. This package facilitates a deeper understanding of the impact of each continuous predictor on the outcome by presenting results in terms of odds ratio (OR) curves based on splines. These curves allow for comparison against a specified reference value, aiding in the interpretation of the predictor's effect.
Author(s)
Maintainer: Marta Azevedo marta.vasconcelos4@gmail.com (ORCID)
Authors:
Luis Meira-Machado lmachado@math.uminho.pt (ORCID)
Artur Araujo artur.stat@gmail.com (ORCID)
References
Hosmer, D. W. and Lemeshow, S. and Sturdivant, R. X. (2013). Applied Logistic Regression: Third Edition, John Wiley and Sons Inc., New York, NY.
Royston, P. and Altman, D. G. and Sauerbrei, W. (2006). Dichotomizing continuous predictors in multiple regression: A bad idea. Statistics in Medicine, 25(1), 127–141. doi:10.1002/sim.2331
Hastie, T. J. and Tibshirani, R. J. (1990). Generalized Additive Models, Chapman & Hall/CRC, New York, NY.
Wood, S. N. (2017). Generalized Additive Models: An Introduction with R: Second Edition, Chapman & Hall/CRC, London, UK.
Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. doi:10.1109/TAC.1974.1100705
Hurvich, C. M. and Simonoff, J. S. and Tsai, C. (1998). Smoothing parameter selection in nonparametric regression using an improved akaike information criterion. Journal of the Royal Statistical Society Series B: Statistical Methodology, 60(2), 271–293. doi:10.1111/1467-9868.00125
Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461–464. doi:10.1214/aos/1176344136
Cadarso-Suárez, 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
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
de Boor, C. (2001). A Practical Guide to Splines: Revised Edition, Springer, New York, NY.
Wood, S. N. and Pya, N. and Safken, B. (2016). Smoothing Parameter and Model Selection for General Smooth Models. Journal of the American Statistical Association, 111(516), 1548-1563. doi:10.1080/01621459.2016.1180986
See Also
Useful links: