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Fundamental statistical methods for analysis of Alzheimer's and other neurodegenerative diseases /

"This book explains statistical techniques commonly used in analyzing data for Alzheimer's and other neurodegenerative diseases, and it presents examples from real-world applications in an effort to make the techniques useful for professionals and students. The book leads readers through t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Irimata, Katherine E., 1990- (Autor), Wilson, Jeffrey (Jeffrey R.) (Autor), Dugger, Brittany N. (Brittany Nicole), 1982- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Baltimore, Maryland : Johns Hopkins University Press, 2020.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction to Statistical Software and Alzheimer's Data
  • Review of Introductory Statistical Methods
  • Generalized Linear Models
  • Hierarchical Regression Models for Continuous Responses
  • Hierarchical Logistic Regression Models
  • Bayesian Regression Models
  • Multiple Membership Models
  • Survival Data Analysis
  • Modeling Responses with Time-Dependent Covariates
  • Joint Modeling of Mean and Dispersion
  • Neural Networks and Other Machine Learning Techniques for Big Data
  • Case Study.