The DOI matches its Crossref record.
Regression Models in Clinical Studies: Determining Relationships Between Predictors and Response
Abstract
Multiple regression models are increasingly being applied to clinical studies. Such models are powerful analytic tools that yield valid statistical inferences and make reliable predictions if various assumptions are satisfied. Two types of assumptions made by regression models concern the distribution of the response variable and the nature or shape of the relationship between the predictors and the response. This paper addresses the latter assumption by applying a direct and flexible approach, cubic spline functions, to two widely used models: the logistic regression model for binary responses and the Cox proportional hazards regression model for survival time data.
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Citations
Cited by
Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147
Chambless, L. E., Heiss, G., Folsom, A. R., Rosamond, W., Szklo, M., Sharrett, A. R., & Clegg, L. X. (1997) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009302 · Cited by 1,990
Moons, K. G. M., Wolff, R. F., Riley, R. D., Whiting, P. F., Westwood, M., Collins, G. S., Reitsma, J. B., Kleijnen, J., & Mallett, S. (2019) · Annals of Internal Medicine · doi:10.7326/m18-1377 · Cited by 1,669
Wang, X., Ouyang, Y., Liu, J., Zhu, M., Zhao, G., Bao, W., & Hu, F. B. (2014) · BMJ · doi:10.1136/bmj.g4490 · Cited by 1,596
BMI and all-cause mortality in older adults: a meta-analysis
Winter, J. E., MacInnis, R. J., Wattanapenpaiboon, N., & Nowson, C. A. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.068122 · Cited by 790
Metadata
- Authors
- Harre, F. E., Lee, K. L., & Pollock, B. G.
- Venue
- JNCI Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 1988-10-05
- Volume
- 80
- Issue
- 15
- Pages
- 1198-1202
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2172227211
- Cited by
- 957
- References
- 0
- FWCI
- 3.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Harre, F. E., Lee, K. L., & Pollock, B. G. (1988). Regression Models in Clinical Studies: Determining Relationships Between Predictors and Response. JNCI Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/80.15.1198
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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.
