The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Mixture models in survival analysis: Are they worth the risk?
Abstract
There has been a recurring interest in models for survival data which hypothesize subpopulations of individuals highly susceptible to some type of adverse event. Other individuals are assumed to be at much less risk. Most commonly, in clinical trials, these models attempt to estimate the fraction of patients cured of disease. The use of such models is examined, and the likelihood function is advocated as an informative inference tool.
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Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Hypothesis testing when a nuisance parameter is present only under the alternative
DAVIES, R. B. (1987) · Biometrika · doi:10.1093/biomet/74.1.33 · Cited by 2,056
Survival curve for cancer patients following treatment
Berkson, J., & Gage, R. P. (1952) · Journal of the American Statistical Association · doi:10.1080/01621459.1952.10501187 · Cited by 889
Maximum Likelihood Estimates of the Proportion of Patients Cured by Cancer Therapy
Boag, J. W. (1949) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1949.tb00020.x · Cited by 864
The Use of Mixture Models for the Analysis of Survival Data with Long-Term Survivors
Farewell, V. T. (1982) · Biometrics · doi:10.2307/2529885 · Cited by 809
Self-citationHypothesis testing when a nuisance parameter is present only under the alternative
Davies, R. B. (1977) · Biometrika · doi:10.1093/biomet/64.2.247 · Cited by 471
Log-Logistic Regression Models for Survival Data
Bennett, S. (1983) · Applied Statistics · doi:10.2307/2347295 · Cited by 342
Long-term survival of patients with breast cancer: a study of the curability of the disease.
Langlands, A. O., Pocock, S., Kerr, G. R., & Gore, S. M. (1979) · BMJ · doi:10.1136/bmj.2.6200.1247 · Cited by 229
A Mixture Model for the Regression Analysis of Competing Risks Data
Larson, M. G., & Dinse, G. E. (1985) · Applied Statistics · doi:10.2307/2347464 · Cited by 207
Maximum-likelihood estimation in non-standard conditions
Moran, P. A. P. (1971) · Mathematical Proceedings of the Cambridge Philosophical Society · doi:10.1017/s0305004100050088 · Cited by 169
Cited by
Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
Lambert, D. (1992) · Technometrics · doi:10.2307/1269547 · Cited by 3,988
Yin, G., Zhang, C., & Jin, H. (2020) · JMIR Public Health and Surveillance · doi:10.2196/19538 · Cited by 8
Metadata
- Authors
- Farewell, V. T.
- Venue
- Canadian Journal of Statistics
- Publisher
- Wiley
- Published
- 1986-09
- Volume
- 14
- Issue
- 3
- Pages
- 257-262
- ISSN
- 0319-5724 (ISSN-L)
- 1708-945X
- OpenAlex
- W1966787736
- Cited by
- 271
- References
- 13
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- closed
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