A robust likelihood approach to inference about the kappa coefficient for correlated binary data
| Autor: | Tsung Shan Tsou |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Statistics and Probability
Score test Likelihood Functions Models Statistical Epidemiology Inference 01 natural sciences 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Cohen's kappa Health Information Management Likelihood-ratio test Binary data Statistics Cluster Analysis Computer Simulation Multinomial distribution 030212 general & internal medicine 0101 mathematics Likelihood function Algorithms Parametric statistics Mathematics |
| Zdroj: | Statistical Methods in Medical Research. 28:1188-1202 |
| ISSN: | 1477-0334 0962-2802 |
| Popis: | We construct a legitimate likelihood function for the agreement kappa coefficient for correlated data without specifically modelling all levels of correlation. This makes available the likelihood ratio test, the score test and other tools without the knowledge of the underlying distributions. This parametric robust likelihood approach applies to general clustered data scenarios. We provide simulations and real data analysis to demonstrate the advantage of the robust procedure. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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