Fundamental Statistical Methods For Analysis Of Alzheimer S And Other Neurodegenerative Diseases
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Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases
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 methods Easy 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.
Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases
Author: Katherine E. Irimata
language: en
Publisher: Johns Hopkins University Press
Release Date: 2020-05-05
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 methods Easy 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.
Neuroinflammatory Mechanisms in Alzheimer’s Disease
Research into inflammatory mechanisms that may cause damage to the Alzheimer's disease (AD) brain has now been ongoing for nearly two decades. Some two dozen clinical studies have strongly suggested that conventional anti-inflammatory drugs may be useful to delay the onset or slow the progression of the disorder. Moreover, virtually all the major systems of the innate immune response appear to be present, and most are upregulated, in pathologically-vulnerable regions of the AD brain. These new findings are described in this volume - first in overview form, followed by chapters on topics of special interest. In many ways, to understand AD brain inflammation, one need only review a text on peripheral inflammation biology, leaving out the chapters on humoral medi ators and substituting microglia for macrophages. In several other key respects, however, AD brain inflammation is unique, due primarily to idiosyncratic interac tions of inflammatory mediators and mechanisms with classical AD pathology: amyloid ~ peptide(A~) deposits and neurofibrillary tangles (NFTs). For this reason, some key concepts about the inflammation that occurs in AD may warrant discus sion in preparation for the more detailed chapters that follow.