The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Pseudo-observations in survival analysis
Abstract
We review recent work on the application of pseudo-observations in survival and event history analysis. This includes regression models for parameters like the survival function in a single point, the restricted mean survival time and transition or state occupation probabilities in multi-state models, e.g. the competing risks cumulative incidence function. Graphical and numerical methods for assessing goodness-of-fit for hazard regression models and for the Fine—Gray model in competing risks studies based on pseudo-observations are also reviewed. Sensitivity to covariate-dependent censoring is studied. The methods are illustrated using a data set from bone marrow transplantation.
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Cites
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Cited by
Competing risks in epidemiology: possibilities and pitfalls
Andersen, P. K., Geskus, R. B., de Witte, T., & Putter, H. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dyr213 · Cited by 985
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Competing Risks and Multistate Models with R
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Evaluation of clinical prediction models (part 2): how to undertake an external validation study
Riley, R. D., Archer, L., Snell, K. I. E., Ensor, J., Dhiman, P., Martin, G. P., Bonnett, L. J., & Collins, G. S. (2024) · BMJ · doi:10.1136/bmj-2023-074820 · Cited by 401
Perez-Andreu, V., Roberts, K. G., Harvey, R. C., Yang, W., Cheng, C., Pei, D., Xu, H., Gastier-Foster, J., E, S., Lim, J. Y.-S., et al. (2013) · Nature Genetics · doi:10.1038/ng.2803 · Cited by 305
Metadata
- Authors
- Andersen, P. K., & Pohar Perme, M.
- Venue
- Statistical Methods in Medical Research
- Publisher
- SAGE Publications
- Published
- 2009-08-04
- Volume
- 19
- Issue
- 1
- Pages
- 71-99
- ISSN
- 0962-2802 (ISSN-L)
- 1477-0334
- OpenAlex
- W2048033270
- Cited by
- 347
- References
- 24
- FWCI
- 2.73
- Type
- journal article
- Language
- en
- Open access
- closed
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