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...
| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Baltimore, Maryland :
Johns Hopkins University Press,
2020.
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| Series: | Book collections on Project MUSE.
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| Subjects: | |
| Online Access: | Texto completo |
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.


