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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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
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Baltimore, Maryland
Johns Hopkins University Press,
2020.
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| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Table of Contents:
- 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.