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The effect of number of clusters and magnitude of within-cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in the context of observational research - MaRDI portal

The effect of number of clusters and magnitude of within-cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in the context of observational research (Q6618321)

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scientific article; zbMATH DE number 7925760
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English
The effect of number of clusters and magnitude of within-cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in the context of observational research
scientific article; zbMATH DE number 7925760

    Statements

    The effect of number of clusters and magnitude of within-cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in the context of observational research (English)
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    14 October 2024
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    clustered data
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    Cox regression
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    health services research
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    Monte Carlo simulations
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    survival analysis
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    variance estimation
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