Share
Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
Juan Diego Mata Marchena
(Author)
·
Jeffrey R. Wilson
(Author)
·
Elsa Vazquez-Arreola
(Author)
·
Springer
· Hardcover
Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates - Wilson, Jeffrey R. ; Vazquez-Arreola, Elsa ; Chen
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Wednesday, June 12 and
Friday, June 28.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
✓ Producto agregado correctamente al carro, Ir a Pagar.
