The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Tutorial in biostatistics: competing risks and multi‐state models
Abstract
Standard survival data measure the time span from some time origin until the occurrence of one type of event. If several types of events occur, a model describing progression to each of these competing risks is needed. Multi‐state models generalize competing risks models by also describing transitions to intermediate events. Methods to analyze such models have been developed over the last two decades. Fortunately, most of the analyzes can be performed within the standard statistical packages, but may require some extra effort with respect to data preparation and programming. This tutorial aims to review statistical methods for the analysis of competing risks and multi‐state models. Although some conceptual issues are covered, the emphasis is on practical issues like data preparation, estimation of the effect of covariates, and estimation of cumulative incidence functions and state and transition probabilities. Examples of analysis with standard software are shown. Copyright © 2006 John Wiley & Sons, Ltd.
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Cites
A Proportional Hazards Model for the Subdistribution of a Competing Risk
Fine, J. P., & Gray, R. J. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474144 · Cited by 14,290
Modeling Survival Data: Extending the Cox Model
Therneau, T. M., & Grambsch, P. M. (2000) · Statistics for Biology and Health · doi:10.1007/978-1-4757-3294-8 · Cited by 8,674
Analysis of Multivariate Survival Data
Hougaard, P. (2000) · Statistics for Biology and Health · doi:10.1007/978-1-4612-1304-8 · Cited by 1,458
Cited by
Introduction to the Analysis of Survival Data in the Presence of Competing Risks
Austin, P. C., Lee, D. S., & Fine, J. P. (2016) · Circulation · doi:10.1161/circulationaha.115.017719 · Cited by 2,653
Vilar-Gomez, E., Calzadilla-Bertot, L., Wai-Sun Wong, V., Castellanos, M., Aller-de la Fuente, R., Metwally, M., Eslam, M., Gonzalez-Fabian, L., Alvarez-Quiñones Sanz, M., Conde-Martin, A. F., et al. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.04.034 · Cited by 806
Long-Term Follow-up of Monoclonal Gammopathy of Undetermined Significance
Kyle, R. A., Larson, D. R., Therneau, T. M., Dispenzieri, A., Kumar, S., Cerhan, J. R., & Rajkumar, S. V. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1709974 · Cited by 647
de Boer, S. M., Powell, M. E., Mileshkin, L., Katsaros, D., Bessette, P., Haie-Meder, C., Ottevanger, P. B., Ledermann, J. A., Khaw, P., Colombo, A., et al. (2018) · The Lancet Oncology · doi:10.1016/s1470-2045(18)30079-2 · Cited by 641
Self-citation(2010) · Clinical Infectious Diseases · doi:10.1086/652283 · Cited by 594
Metadata
- Authors
- Putter, H., Fiocco, M., & Geskus, R. B.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2006-10-10
- Volume
- 26
- Issue
- 11
- Pages
- 2389-2430
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2057847137
- Cited by
- 2,440
- References
- 3
- FWCI
- 27.15
- Type
- journal article
- Language
- en
- Open access
- closed
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