TY  - BOOK
AU  - Irimata,Katherine E.
AU  - Wilson,Jeffrey
AU  - Dugger,Brittany N.
TI  - Fundamental statistical methods for analysis of Alzheimer's and other neurodegenerative diseases
SN  - 9781421436722
AV  - RC523 .I75 2020
U1  - 616.8/31100727 23
PY  - 2020///
CY  - Baltimore, Maryland
PB  - Johns Hopkins University Press
KW  - Alzheimer's disease
KW  - Biometry
KW  - Nervous system
KW  - Degeneration
KW  - Statistics
KW  - Statistics as Topic
KW  - Neurodegenerative Diseases
KW  - Alzheimer Disease
KW  - Maladie d'Alzheimer
KW  - Biométrie
KW  - Statistiques
KW  - biometrics
KW  - aat
KW  - fast
KW  - EBSCO  eBooks
KW  - Electronic books
N1  - Includes bibliographical references and index; 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
N2  - "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 the steps of conducting multivariate analyses while adjusting for correlation or the hierarchical structure of data in prediction and inferences. Techniques such as spatial analysis, Bayesian analysis, and time-dependent covariates are included. Several data sets from the National Alzheimer's Coordinating Center are analyzed with statistical software commonly used by Alzheimer's researchers, and the results are shown to readers by way of illustration"--
UR  - https://www.lib.tsu.ru/limit/2023/EBSCO/2266289.pdf
ER  -