The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Analysis of survival data by the proportional odds model
Abstract
A model is presented for the analysis of lifetime data in which the rates of mortality for separate groups of patients converge with time. A non‐parametric estimate is given for the survivor function. The theoretical basis for the model assumes that prognostic factors have a multiplicative effect on the odds against survival beyond any given time. The model is fitted to data using maximum likelihood estimation, and an example of its use in the analysis of a lung cancer trial is given.
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Citations
Cites
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1958) · Journal of the American Statistical Association · doi:10.1080/01621459.1958.10501452 · Cited by 39,158
Cox, D. R., & Hinkley, D. V. (1974) · doi:10.1007/978-1-4899-2887-0 · Cited by 3,089
Cited by
Flexible Parametric Alternatives to the Cox Model, and more
Royston, P. (2001) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0100100101 · Cited by 259
Limenih, Y. A., & Workie, D. L. (2019) · BMC Public Health · doi:10.1186/s12889-019-6500-3 · Cited by 27
Gobena, M. G., & Alemu, Y. M. (2022) · BMC Women's Health · doi:10.1186/s12905-022-01775-1 · Cited by 8
Metadata
- Authors
- Bennett, S.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1983-04
- Volume
- 2
- Issue
- 2
- Pages
- 273-277
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2168494806
- Cited by
- 465
- References
- 2
- FWCI
- 4.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bennett, S. (1983). Analysis of survival data by the proportional odds model. Statistics in Medicine. https://doi.org/10.1002/sim.4780020223
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