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A pseudo-likelihood method for estimating misclassification probabilities in competing-risks settings when true event data are partially observed
Outcome misclassification occurs frequently in binary-outcome studies and can result in biased estimation of quantities such as the incidence, prevalence, cause-specific hazards, cumulative incidence functions etc. A number of remedies have been proposed to address the potential misclassification of...
Gardado en:
| Publicado en: | Biom J |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7641920/ https://ncbi.nlm.nih.gov/pubmed/32520411 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.201900198 |
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