The DOI matches its Crossref record.
Regression with Frailty in Survival Analysis
Abstract
In studies of survival, the hazard function for each individual may depend on observed risk variables but usually not all such variables are known or measurable. This unknown factor of the hazard function is usually termed the individual heterogeneity or frailty. When survival is time to the occurrence of a particular type of event and more than one such time may be obtained for each individual, frailty is a common factor among such recurrence times. A model including frailty is fitted to such repeated measures of recurrence times.
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Citations
Cited by
brms : An R Package for Bayesian Multilevel Models Using Stan
Bürkner, P.-C. (2017) · Journal of Statistical Software · doi:10.18637/jss.v080.i01 · Cited by 9,476
“Next, the software is introduced in detail using recurrence times of infection in kidney patients (McGilchrist and Aisbett 1991) and ratings of inhaler instructions (Ezzet and Whitehead 1991) as examples.”
MethodPenalized Survival Models and Frailty
Therneau, T. M., Grambsch, P. M., & Pankratz, V. S. (2003) · Journal of Computational and Graphical Statistics · doi:10.1198/1061860031365 · Cited by 481
Missov, T. I., & Finkelstein, M. (2011) · Theoretical Population Biology · doi:10.1016/j.tpb.2011.05.001 · Cited by 34
Metadata
- Authors
- McGilchrist, C. A., & Aisbett, C. W.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1991-06
- Volume
- 47
- Issue
- 2
- Pages
- 461
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2013885224
- Cited by
- 526
- References
- 0
- FWCI
- 2.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Regression with Frailty in Survival Analysis. https://app.cochat.ai/papers/10.2307/2532138
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- McGilchrist, C. A., & Aisbett, C. W. (1991). Regression with Frailty in Survival Analysis. Biometrics. https://doi.org/10.2307/2532138
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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.
