The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Bootstrap investigation of the stability of a cox regression model
Abstract
We describe a bootstrap investigation of the stability of a Cox proportional hazards regression model resulting from the analysis of a clinical trial of azathioprine versus placebo in patients with primary biliary cirrhosis. We have considered stability to refer both to the choice of variables included in the model and, more importantly, to the predictive ability of the model. In stepwise Cox regression analyses of 100 bootstrap samples using 17 candidate variables, the most frequently selected variables were those selected in the original analysis, and no other important variable was identified. Thus there was no reason to doubt the model obtained in the original analysis. For each patient in the trial, bootstrap confidence intervals were constructed for the estimated probability of surviving two years. It is shown graphically that these intervals are markedly wider than those obtained from the original model.
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Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Regression Models and Life-Tables
Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297
Bootstrap methods: another look at the jackknife
Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602
Efron, B., & Tibshirani, R. (1986) · Statistical Science · doi:10.1214/ss/1177013815 · Cited by 6,033
Cox’s regression model for counting processes: A large sample study
Andersen, P. K., & Gill, R. D. (1982) · The Annals of Statistics · doi:10.1214/aos/1176345976 · Cited by 4,419
Self-citationA leisurely look at the bootstrap, the jackknife, and cross-validation
Efron, B., & Gong, G. (1983) · The American Statistician · doi:10.1080/00031305.1983.10483087 · Cited by 3,229
BMDP Statistical Software 1981
Dixon, W. J. (1982) · Biometrics · doi:10.2307/2530483 · Cited by 2,297
COX, D. R. (1975) · Biometrika · doi:10.1093/biomet/62.2.269 · Cited by 2,292
Mallows, C. L. (1973) · Technometrics · doi:10.2307/1267380 · Cited by 1,975
An Extension of Shapiro and Wilk's W Test for Normality to Large Samples
Royston, J. P. (1982) · Applied Statistics · doi:10.2307/2347973 · Cited by 1,399
Cited by
Internal validation of predictive models
Steyerberg, E. W., Harrell, F. E., Borsboom, G. J. J. M., Eijkemans, M. J. C., Vergouwe, Y., & Habbema, J. D. F. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(01)00341-9 · Cited by 2,746
Babyak, M. A. (2004) · Psychosomatic Medicine · doi:10.1097/01.psy.0000127692.23278.a9 · Cited by 2,061
Inappropriate use of bivariable analysis to screen risk factors for use in multivariable analysis
Sun, G.-W., Shook, T. L., & Kay, G. L. (1996) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(96)00025-x · Cited by 933
Anesthetic Management and One-Year Mortality After Noncardiac Surgery
Monk, T. G., Saini, V., Weldon, B. C., & Sigl, J. C. (2005) · Anesthesia & Analgesia · doi:10.1213/01.ane.0000147519.82841.5e · Cited by 890
Steyerberg, E. W., Eijkemans, M. J. C., Harrell, F. E., & Habbema, J. D. F. (2000) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(20000430)19:8<1059::aid-sim412>3.0.co;2-0 · Cited by 785
Metadata
- Authors
- Altman, D. G., & Andersen, P. K.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1989-07
- Volume
- 8
- Issue
- 7
- Pages
- 771-783
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2066772641
- Cited by
- 310
- References
- 27
- FWCI
- 3.22
- 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.
