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Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

(Din) Ding-Geng Chen / Elsa Vazquez-Arreola / Jeffrey R. Wilson

72,90 €
IVA incluido
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Editorial:
Springer Nature B.V.
Año de edición:
2021
Materia
Probabilidad y estadística
ISBN:
9783030489069
72,90 €
IVA incluido
Disponible

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This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and health-related data, they can be used to analyze any kind of data that contain covariates that change over time. The included data are analyzed with the use of both R and SAS, and the data and computing programs are provided to readers so that they can replicate and implement covered methods. It is an excellent resource for scholars of both computational and methodological statistics and biostatistics, particularly in the applied areas of health. ​

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Otros libros del autor

  • Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
    (Din) Ding-Geng Chen / Elsa Vazquez-Arreola / Jeffrey R. Wilson
    This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and health-related data, they can be used to a...
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