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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Bibliographic Details
Main Author: Irimata, Katherine E., 1990-
Other Authors: Wilson, Jeffrey (Jeffrey R.), Dugger, Brittany N. (Brittany Nicole), 1982-
Format: eBook
Language:English
Published: Baltimore, Maryland Johns Hopkins University Press, 2020.
Subjects:
Online Access:EBSCOhost
Перейти в каталог НБ ТГУ
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007 cr cnu---unuuu
008 190604s2020 mdu ob 001 0 eng d
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020 |a 9781421436722  |q (electronic book) 
020 |a 1421436728  |q (electronic book) 
020 |z 9781421436715 
020 |z 142143671X 
050 4 |a RC523  |b .I75 2020 
060 4 |a WA 950 
082 0 4 |a 616.8/31100727  |2 23 
049 |a MAIN 
100 1 |a Irimata, Katherine E.,  |d 1990-  |9 906964 
245 1 0 |a Fundamental statistical methods for analysis of Alzheimer's and other neurodegenerative diseases  |c Katherine E. Irimata, Brittany N. Dugger, Jeffrey R. Wilson. 
264 1 |a Baltimore, Maryland  |b Johns Hopkins University Press,  |c 2020. 
300 |a 1 online resource 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
520 |a "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"--  |c Provided by publisher 
588 0 |a Online resource; title from digital title page (viewed on April 13, 2020). 
653 0 |a Alzheimer's disease. 
653 0 |a Biometry. 
653 0 |a Nervous system  |x Degeneration. 
653 0 |a Statistics. 
653 1 2 |a Statistics as Topic 
653 2 2 |a Neurodegenerative Diseases 
653 2 2 |a Alzheimer Disease 
653 2 2 |a Biometry 
653 6 |a Maladie d'Alzheimer. 
653 6 |a Biométrie. 
653 6 |a Statistiques. 
653 7 |a biometrics.  |2 aat 
653 7 |a Alzheimer's disease.  |2 fast  |0 (OCoLC)fst00806532 
653 7 |a Biometry.  |2 fast  |0 (OCoLC)fst00832611 
653 7 |a Nervous system  |x Degeneration.  |2 fast  |0 (OCoLC)fst01036090 
655 0 |a EBSCO eBooks  |9 905790 
655 0 |a Electronic books.  |9 899821 
655 4 |a Electronic books.  |9 899821 
700 1 |a Wilson, Jeffrey  |q (Jeffrey R.),  |9 906965 
700 1 |a Dugger, Brittany N.  |q (Brittany Nicole),  |d 1982-  |9 906966 
856 4 0 |3 EBSCOhost  |u https://www.lib.tsu.ru/limit/2023/EBSCO/2266289.pdf 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1011388 
910 |a EBSCO eBooks 
999 |c 1011388  |d 1011388 
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