The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Mixture Model for the Regression Analysis of Competing Risks Data
Abstract
Martin G. Larson, Gregg E. Dinse, A Mixture Model for the Regression Analysis of Competing Risks Data, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 34, No. 3 (1985), pp. 201-211
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The Theory of Stochastic Processes
Cox, D. R., Miller, H. D., Weiss, G., & Shuler, K. (1966) · Physics Today · doi:10.1063/1.3047872 · Cited by 3,324
Cited by
Mixture models in survival analysis: Are they worth the risk?
Farewell, V. T. (1986) · Canadian Journal of Statistics · doi:10.2307/3314804 · Cited by 271
Snowsill, T. (2019) · Medical Decision Making · doi:10.1177/0272989x19860119 · Cited by 4
Metadata
- Authors
- Larson, M. G., & Dinse, G. E.
- Venue
- Applied Statistics
- Publisher
- JSTOR
- Published
- 1985
- Volume
- 34
- Issue
- 3
- Pages
- 201
- ISSN
- 0035-9254 (ISSN-L)
- OpenAlex
- W2518539007
- Cited by
- 207
- References
- 1
- FWCI
- 0.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Larson, M. G., & Dinse, G. E. (1985). A Mixture Model for the Regression Analysis of Competing Risks Data. Applied Statistics. https://doi.org/10.2307/2347464
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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.
