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A nonidentifiability aspect of the problem of competing risks.
Open accessAbstract
For an experimental animal exposed to k greater than 1 possible risks of death R1, R2, ..., Rk, the term i-th potential survival time designates a random variable Yi supposed to represent the age at death of the animal in hypothetical conditions in which Ri is the only possible risk. The probability that Yi will exceed a preassigned t is called the i-th net survival probability. The results of a survival experiment are represented by k "crude" survival functions, empirical counterparts of the probabilities Qi(t) that an animal will survive at least up to the age t and eventually die from Ri. The analysis of a survival experiment aims at estimating the k net survival probabilities using the empirical data on those termed crude. Therorems 1 and 2 establish the relationship between the net and the crude probabilities of survival. In particular, Theorem 2 shows that, without the not directly verifiable assumption that in their joint distribution the variables Y1, Y2, ..., Yk are mutually independent, a given set of crude survival probabilities Qi(t) does not identify the corresponding net probabilities. An example shows that the results of a customary method of analysis, based on the assumption that Y1, Y2, ..., Yk are independent, may have no resemblance to reality.
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Cited by
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
A Class of $K$-Sample Tests for Comparing the Cumulative Incidence of a Competing Risk
Gray, R. J. (1988) · The Annals of Statistics · doi:10.1214/aos/1176350951 · Cited by 4,960
The Analysis of Failure Times in the Presence of Competing Risks
Prentice, R. L., Kalbfleisch, J. D., Peterson, A. V., Flournoy, N., Farewell, V. T., & Breslow, N. E. (1978) · Biometrics · doi:10.2307/2530374 · Cited by 1,266
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
The Nonparametric Identification of Treatment Effects in Duration Models
Abbring, J. H., & van den Berg, G. J. (2003) · Econometrica · doi:10.1111/1468-0262.00456 · Cited by 616
Metadata
- Authors
- Tsiatis, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1975-01
- Volume
- 72
- Issue
- 1
- Pages
- 20-22
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2024385229
- Cited by
- 862
- References
- 0
- FWCI
- 18.27
- Type
- journal article
- Language
- en
- Open access
- green
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