Logistická regrese s misklasifikovanou odezvou
| Thesis title in Czech: | Logistická regrese s misklasifikovanou odezvou |
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| Thesis title in English: | Logistic regression with misclassified response |
| Academic year of topic announcement: | 2023/2024 |
| Thesis type: | diploma thesis |
| Thesis language: | |
| Department: | Department of Probability and Mathematical Statistics (32-KPMS) |
| Supervisor: | doc. Mgr. Michal Kulich, Ph.D. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 22.04.2024 |
| Date of assignment: | 23.04.2024 |
| Confirmed by Study dept. on: | 23.04.2024 |
| Guidelines |
| The thesis will describe and summarize methods for analyzing logistic regression with misclassified responses, in the presence and absence of a validation subset. The student will derive the likelihood function for this problem and consider its maximization via an EM algorithm or using other approaches. The practical performance of various methods will be evaluated in simulation studies.
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| References |
| Luo, S., Chan, W., Detry, M.A., Massman, P.J. and Doody, R.S. (2016) Binomial regression with a misclassified covariate and outcome. Statistical Methods in Medical Research, 25, 101–117.
Lyles, R.H., Tang, L., Superak, H.M., King, C.C., Celentano, D.D., Lo, Y., et al. (2011) Validation Data-based Adjustments for Outcome Misclassification in Logistic Regression An Illustration. Epidemiology, 22, 589–598. Magder, L. and Hughes, J. (1997) Logistic regression when the outcome is measured with uncertainty. American Journal of Epidemiology, 146, 195–203. |