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LBC: Logistic Box Cox
The logistic Box-Cox model is a formal method, which can accommodate the non-linear relationship between the log-odds and exposure via a shape parameter. Thus, it is superior to the common two-step approach, which adds a data transformation step before fitting a logistic regression model to accommodate any non-linearity in the disease-exposure relationship. This package includes key functions in our model and dataset for simulation. Simulation experiments can be reproduced following the Vignette.
Getting started
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Package details |
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| Author | Haoxue Wang [aut, cre] (Development of the whole packages), Li Xing [aut] (Authors of some functions), Xuekui Zhang [aut] (Revison of this package), Igor Burstyn [aut] (Revison of this package), Paul Gustafson [aut] (Revison of this package) |
| Maintainer | Haoxue Wang <haoxwang@student.ethz.ch> |
| License | MIT + file LICENSE |
| Version | 1.0 |
| URL | https://github.com/wanghaoxue0/LBC |
| Package repository | View on CRAN |
| Installation |
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