# Cubic splines to model relationships between continuous variables and outcomes: a guide for clinicians

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cubic-splines-to-model-relationships-between-continuous-variables-and-outcomes-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jordon Gauthier,Qian Wu,Ted Gooley |
| Citations | 490 |
| DOI | 10.1038/s41409-019-0679-x |
| Fields | Computer Science |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.nature.com/articles/s41409-019-0679-x.pdf |
| OpenAlex ID | https://openalex.org/W2977275524 |
| PMID | 31576022 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Qian Wu](https://scholariq.org/researchers/qian-wu-2/)

## Paper primary topic

- [Bayesian Methods and Mixture Models](https://scholariq.org/topics/bayesian-methods-and-mixture-models/)

## Paper topics

- [Bayesian Methods and Mixture Models](https://scholariq.org/topics/bayesian-methods-and-mixture-models/)
- [Algorithms and Data Compression](https://scholariq.org/topics/algorithms-and-data-compression/)
- [Data Mining Algorithms and Applications](https://scholariq.org/topics/data-mining-algorithms-and-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.