The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Flexible regression models with cubic splines
Abstract
We describe the use of cubic splines in regression models to represent the relationship between the response variable and a vector of covariates. This simple method can help prevent the problems that result from inappropriate linearity assumptions. We compare restricted cubic spline regression to non‐parametric procedures for characterizing the relationship between age and survival in the Stanford Heart Transplant data. We also provide an illustrative example in cancer therapeutics.
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Citations
Cites
Some aspects of the spline smoothing approach to non-parametric regression curve fitting
Silverman, B. W. (1985) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1985.tb01327.x · Cited by 1,117
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Cited by
Items 101–102 of 102
Böhm, M., Schumacher, H., Teo, K. K., Lonn, E. M., Mahfoud, F., Emrich, I., Mancia, G., Redon, J., Schmieder, R. E., Sliwa, K., et al. (2021) · Journal of Hypertension · doi:10.1097/hjh.0000000000002697 · Cited by 12
Harrell, F., Jr. (1996) · doi:10.1002/(sici)1097-0258(19960229)15:4<361::aid-sim168>3.0.co;2-4
Metadata
- Authors
- Durrleman, S., & Simon, R.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1989-05
- Volume
- 8
- Issue
- 5
- Pages
- 551-561
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2098787760
- Cited by
- 2,689
- References
- 1
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
