Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, US, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Añadir al carritoPaperback. Condición: New. A statistics textbook that delivers essential data analysis techniques for Alzheimer's and other neurodegenerative diseases.Alzheimer's disease is a devastating condition that presents overwhelming challenges to patients and caregivers. In the face of this relentless and as-yet incurable disease, mastery of statistical analysis is paramount for anyone who must assess complex data that could improve treatment options. This unique book presents up-to-date statistical techniques commonly used in the analysis of data on Alzheimer's and other neurodegenerative diseases. With examples drawn from the real world that will make it accessible to disease researchers, practitioners, academics, and students alike, this volume. presents code for analyzing dementia data in statistical programs, including SAS, R, SPSS, and Stata. introduces statistical models for a range of data types, including continuous, categorical, and binary responses, as well as correlated data. draws on datasets from the National Alzheimer's Coordinating Center, a large relational database of standardized clinical and neuropathological research data. discusses advanced statistical methods, including hierarchical models, survival analysis, and multiple-membership. examines big data analytics and machine learning methodsEasy to understand but sophisticated in its approach, Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases will be a cornerstone for anyone looking for simplicity in understanding basic and advanced statistical data analysis topics. Allowing more people to aid in analyzing data-while promoting constructive dialogues with statisticians-this book will hopefully play an important part in unlocking the secrets of these confounding diseases.
Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press 2020-06-30, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, Baltimore, MD, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Añadir al carritoPaperback. Condición: new. Paperback. A statistics textbook that delivers essential data analysis techniques for Alzheimer's and other neurodegenerative diseases.Alzheimer's disease is a devastating condition that presents overwhelming challenges to patients and caregivers. In the face of this relentless and as-yet incurable disease, mastery of statistical analysis is paramount for anyone who must assess complex data that could improve treatment options. This unique book presents up-to-date statistical techniques commonly used in the analysis of data on Alzheimer's and other neurodegenerative diseases. With examples drawn from the real world that will make it accessible to disease researchers, practitioners, academics, and students alike, this volume presents code for analyzing dementia data in statistical programs, including SAS, R, SPSS, and Stata introduces statistical models for a range of data types, including continuous, categorical, and binary responses, as well as correlated data draws on datasets from the National Alzheimer's Coordinating Center, a large relational database of standardized clinical and neuropathological research data discusses advanced statistical methods, including hierarchical models, survival analysis, and multiple-membership examines big data analytics and machine learning methodsEasy to understand but sophisticated in its approach, Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases will be a cornerstone for anyone looking for simplicity in understanding basic and advanced statistical data analysis topics. Allowing more people to aid in analyzing datawhile promoting constructive dialogues with statisticiansthis book will hopefully play an important part in unlocking the secrets of these confounding diseases. Allowing more people to aid in analyzing data--while promoting constructive dialogues with statisticians--this book will hopefully play an important part in unlocking the secrets of these confounding diseases. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Johns Hopkins University Press 2020-06-30, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
Librería: Chiron Media, Wallingford, Reino Unido
EUR 77,59
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
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Añadir al carritoCondición: New. Allowing more people to aid in analyzing data-while promoting constructive dialogues with statisticians-this book will hopefully play an important part in unlocking the secrets of these confounding diseases.Über den AutorKath.
Idioma: Inglés
Publicado por Johns Hopkins University Press, US, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
Librería: Rarewaves.com UK, London, Reino Unido
EUR 68,79
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Añadir al carritoPaperback. Condición: New. A statistics textbook that delivers essential data analysis techniques for Alzheimer's and other neurodegenerative diseases.Alzheimer's disease is a devastating condition that presents overwhelming challenges to patients and caregivers. In the face of this relentless and as-yet incurable disease, mastery of statistical analysis is paramount for anyone who must assess complex data that could improve treatment options. This unique book presents up-to-date statistical techniques commonly used in the analysis of data on Alzheimer's and other neurodegenerative diseases. With examples drawn from the real world that will make it accessible to disease researchers, practitioners, academics, and students alike, this volume. presents code for analyzing dementia data in statistical programs, including SAS, R, SPSS, and Stata. introduces statistical models for a range of data types, including continuous, categorical, and binary responses, as well as correlated data. draws on datasets from the National Alzheimer's Coordinating Center, a large relational database of standardized clinical and neuropathological research data. discusses advanced statistical methods, including hierarchical models, survival analysis, and multiple-membership. examines big data analytics and machine learning methodsEasy to understand but sophisticated in its approach, Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases will be a cornerstone for anyone looking for simplicity in understanding basic and advanced statistical data analysis topics. Allowing more people to aid in analyzing data-while promoting constructive dialogues with statisticians-this book will hopefully play an important part in unlocking the secrets of these confounding diseases.
Idioma: Inglés
Publicado por Johns Hopkins University Press Mai 2020, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 79,86
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Allowing more people to aid in analyzing data--while promoting constructive dialogues with statisticians--this book will hopefully play an important part in unlocking the secrets of these confounding diseases.
Idioma: Inglés
Publicado por Johns Hopkins University Press, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
Librería: preigu, Osnabrück, Alemania
EUR 86,75
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Añadir al carritoTaschenbuch. Condición: Neu. Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases | Katherine E Irimata (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Johns Hopkins University Press | EAN 9781421436715 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Johns Hopkins University Press, Baltimore, MD, 2020
ISBN 10: 142143671X ISBN 13: 9781421436715
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 140,13
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Añadir al carritoPaperback. Condición: new. Paperback. A statistics textbook that delivers essential data analysis techniques for Alzheimer's and other neurodegenerative diseases.Alzheimer's disease is a devastating condition that presents overwhelming challenges to patients and caregivers. In the face of this relentless and as-yet incurable disease, mastery of statistical analysis is paramount for anyone who must assess complex data that could improve treatment options. This unique book presents up-to-date statistical techniques commonly used in the analysis of data on Alzheimer's and other neurodegenerative diseases. With examples drawn from the real world that will make it accessible to disease researchers, practitioners, academics, and students alike, this volume presents code for analyzing dementia data in statistical programs, including SAS, R, SPSS, and Stata introduces statistical models for a range of data types, including continuous, categorical, and binary responses, as well as correlated data draws on datasets from the National Alzheimer's Coordinating Center, a large relational database of standardized clinical and neuropathological research data discusses advanced statistical methods, including hierarchical models, survival analysis, and multiple-membership examines big data analytics and machine learning methodsEasy to understand but sophisticated in its approach, Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases will be a cornerstone for anyone looking for simplicity in understanding basic and advanced statistical data analysis topics. Allowing more people to aid in analyzing datawhile promoting constructive dialogues with statisticiansthis book will hopefully play an important part in unlocking the secrets of these confounding diseases. Allowing more people to aid in analyzing data--while promoting constructive dialogues with statisticians--this book will hopefully play an important part in unlocking the secrets of these confounding diseases. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.