Science Score: 13.0%
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Low similarity (10.6%) to scientific vocabulary
Keywords
Repository
Smooth Hazard Ratio Curves Taking a Reference Value
Basic Info
Statistics
- Stars: 2
- Watchers: 1
- Forks: 4
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
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.
Installation
If you want to use the release version of the smoothHR package, you can install the package from CRAN as follows:
r
install.packages(pkgs="smoothHR");
If you want to use the development version of the smoothHR package, you can install the package from GitHub via the remotes package:
r
remotes::install_github(
repo="arturstat/smoothHR",
build=TRUE,
build_manual=TRUE
);
Authors
Artur Araújo and Luís Meira-Machado lmachado@math.uminho.pt \ Maintainer: Artur Araújo artur.stat@gmail.com
Funding
This research was financed by FEDER Funds through Programa Operacional Factores de Competitividade -- COMPETE; by Portuguese Funds through FCT -- Fundação para a Ciência e a Tecnologia, in the form of grants PTDC/MAT/104879/2008 and Est-C/MAT/UI0013/2011; and by the Spanish Ministry of Industry and Innovation, Grant MTM2011-28285-C02-01.
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
Owner
- Name: Artur Araujo
- Login: arturstat
- Kind: user
- Location: Portugal
- Twitter: artur_stat
- Repositories: 4
- Profile: https://github.com/arturstat
GitHub Events
Total
- Fork event: 1
Last Year
- Fork event: 1
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Artur Araujo | a****t@g****m | 50 |
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 5
- Total pull requests: 0
- Average time to close issues: about 1 month
- Average time to close pull requests: N/A
- Total issue authors: 5
- Total pull request authors: 0
- Average comments per issue: 2.4
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- darentsai (1)
- waybo-zz (1)
- akhst7 (1)
- heleny2 (1)
- JulianMutz (1)
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Dependencies
- R >= 2.12.0 depends
- splines * depends
- survival * depends