| Autor: |
Adeniyi, Olakiitan I., Oyejola, Benjamin A. |
| Předmět: |
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| Zdroj: |
Annals. Computer Science Series; 2019, Vol. 17 Issue 1, p242-251, 10p |
| Abstrakt: |
Most observational data are found to be clustered. In situations like this, it is important to investigate whether there is variation in the predictor effect between the clusters. Such inter-cluster variation cannot be explained only by the heterogeneity of predictor effects across the cluster but also by heterogeneity of their baseline hazard risk. The aim of this work is to use the Penalized Partial likelihood method and Hierarchical likelihood to estimate the parameters of the model Cox model with two additive random effect when the random effect are wrongly specified via a simulation study for various cluster sizes, number of clusters, censoring percentages and magnitude of the random effect variance. The simulation study showed Hierarchical Likelihood estimates the random effects well than the Penalized Partial Likelihood but both methods estimates the fixed effect well. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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