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010 a| 2019020304;

020 a| 9781421436715q| (paperback)q| (alk. paper);

020 z| 9781421436722q| (ebook);

035 a| (WaSeSS)ssj0002272596;

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060 10 a| WA 950;

082 00 a| 616.8/311007272| 23;

100 1 a| Irimata, Katherine E.,d| 1990-=| ^A1460435;

245 10 a| Fundamental statistical methods for analysis of Alzheimer's and other neurodegenerative diseasesh| [electronic resource] /c| Katherine E. Irimata, Brittany N. Dugger, Jeffrey R. Wilson.;

260 a| Baltimore, Maryland :b| Johns Hopkins University Press,c| 2020.;

300 a| x, 470 pages:b| illustrations ; tables; figures;c| 23 cm;

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.;

506 a| Available only to authorized users.;

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.;

538 a| Mode of access: World Wide Web;

650 12 a| Statistics as Topic=| ^A918102;

650 22 a| Biometry=| ^A918101;

650 22 a| Alzheimer Disease=| ^A932032;

650 22 a| Neurodegenerative Diseases=| ^A932429;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Dugger, Brittany N.q| (Brittany Nicole),d| 1982-?| UNAUTHORIZED;

700 1 a| Wilson, Jeffreyq| (Jeffrey R.)?| UNAUTHORIZED;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=6134558;

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Fundamental statistical methods for analysis of Alzheimer's and other neurodegenerative diseases / Katherine E. Irimata, Brittany N. Dugger, Jeffrey R. Wilson.

Author/creator	Irimata, Katherine E., 1990-
Other author	Dugger, Brittany N. (Brittany Nicole), 1982-
Other author	Wilson, Jeffrey (Jeffrey R.)
Format	Electronic
Publication Info	Baltimore, Maryland : Johns Hopkins University Press, 2020.
Description	x, 470 pages: illustrations ; tables; figures; 23 cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Statistics as Topic Biometry Alzheimer Disease Neurodegenerative Diseases

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.
Abstract	"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"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2019020304
ISBN	9781421436715 (paperback) (alk. paper)
ISBN	(ebook)

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Fundamental statistical methods for analysis of Alzheimer's and other neurodegenerative diseases / Katherine E. Irimata, Brittany N. Dugger, Jeffrey R. Wilson.

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