Applied Longitudinal Data Analysis for Epidemiology

Applied Longitudinal Data Analysis for Epidemiology PDF Author: Jos W. R. Twisk
Publisher: Cambridge University Press
ISBN: 110703003X
Category : Medical
Languages : en
Pages : 337

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Book Description
A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.

Applied Longitudinal Data Analysis for Epidemiology

Applied Longitudinal Data Analysis for Epidemiology PDF Author: Jos W. R. Twisk
Publisher: Cambridge University Press
ISBN: 110703003X
Category : Medical
Languages : en
Pages : 337

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Book Description
A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.

Handbook of Life Course Health Development

Handbook of Life Course Health Development PDF Author: Neal Halfon
Publisher: Springer
ISBN: 3319471430
Category : Medical
Languages : en
Pages : 667

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Book Description
This book is open access under a CC BY 4.0 license. ​This handbook synthesizes and analyzes the growing knowledge base on life course health development (LCHD) from the prenatal period through emerging adulthood, with implications for clinical practice and public health. It presents LCHD as an innovative field with a sound theoretical framework for understanding wellness and disease from a lifespan perspective, replacing previous medical, biopsychosocial, and early genomic models of health. Interdisciplinary chapters discuss major health concerns (diabetes, obesity), important less-studied conditions (hearing, kidney health), and large-scale issues (nutrition, adversity) from a lifespan viewpoint. In addition, chapters address methodological approaches and challenges by analyzing existing measures, studies, and surveys. The book concludes with the editors’ research agenda that proposes priorities for future LCHD research and its application to health care practice and health policy. Topics featured in the Handbook include: The prenatal period and its effect on child obesity and metabolic outcomes. Pregnancy complications and their effect on women’s cardiovascular health. A multi-level approach for obesity prevention in children. Application of the LCHD framework to autism spectrum disorder. Socioeconomic disadvantage and its influence on health development across the lifespan. The importance of nutrition to optimal health development across the lifespan. The Handbook of Life Course Health Development is a must-have resource for researchers, clinicians/professionals, and graduate students in developmental psychology/science; maternal and child health; social work; health economics; educational policy and politics; and medical law as well as many interrelated subdisciplines in psychology, medicine, public health, mental health, education, social welfare, economics, sociology, and law.

Group-Based Modeling of Development

Group-Based Modeling of Development PDF Author: Daniel S. Nagin
Publisher: Harvard University Press
ISBN: 0674041313
Category : Social Science
Languages : en
Pages : 214

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Book Description
This book provides a systematic exposition of a group-based statistical method for analyzing longitudinal data in the social and behavioral sciences and in medicine. The methods can be applied to a wide range of data, such as that describing the progression of delinquency and criminality over the life course, changes in income over time, the course of a disease or physiological condition, or the evolution of the socioeconomic status of communities. Using real-world research data from longitudinal studies, the book explains and applies this method for identifying distinctive time-based progressions called developmental trajectories. Rather than assuming the existence of developmental trajectories of a specific form before statistical data analysis begins, the method allows the trajectories to emerge from the data itself. Thus, in an analysis of data on Montreal school children, it teases apart four distinct trajectories of physical aggression over the ages 6 to 15, examines predictors of these trajectories, and identifies events that may alter the trajectories. Aimed at consumers of statistical methodology, including social scientists, criminologists, psychologists, and medical researchers, the book presents the statistical theory underlying the method with a mixture of intuition and technical development.

Analysis of Longitudinal Data

Analysis of Longitudinal Data PDF Author: Peter Diggle
Publisher: Oxford University Press, USA
ISBN: 0199676755
Category : Language Arts & Disciplines
Languages : en
Pages : 397

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Book Description
This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.

Investing in Young Children

Investing in Young Children PDF Author: Sophie Naudeau
Publisher: World Bank Publications
ISBN: 0821385267
Category : Business & Economics
Languages : fr
Pages : 320

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Book Description
La Banque mondiale a rédigé ce guide du développement de la petite enfance (DPE) pour répondre à la demande croissante de conseil et d’appui des responsables de programmes en matière de dialogue politique sur le thème du DPE, et pour aider les clients à prendre et à mettre en oeuvre des décisions pertinentes sur la meilleure manière d’investir dans le DPE dans le cadre de leur économie et de leurs priorités nationales. Ce guide comble un manque dans la littérature actuelle sur le sujet (1) en distillant l’information existante sous la forme de notes concises et faciles à utiliser ;(2) en fournissant une information pratique sur les dernières questions pertinentes relatives au DPE, telles que la mesure des résultats du développement des enfants grâce à l’identification et l’adaptation d’instruments efficaces, aux transferts monétaires conditionnels destinés aux familles de jeunes enfants, et autres ; et (3) en évaluant la qualité des derniers faits rapportés pour chaque sujet et en identifiant les lacunes en matière de connaissances pour lesquelles des expérimentations et évaluations complémentaires sont nécessaires.

The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis

The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis PDF Author: Todd D. Little
Publisher: Oxford University Press
ISBN: 0199934908
Category : Psychology
Languages : en
Pages : 784

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Book Description
Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.

Handbook of Quantitative Criminology

Handbook of Quantitative Criminology PDF Author: Alex R. Piquero
Publisher: Springer Science & Business Media
ISBN: 0387776508
Category : Social Science
Languages : en
Pages : 787

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Book Description
Quantitative criminology has certainly come a long way since I was ?rst introduced to a largely qualitative criminology some 40 years ago, when I was recruited to lead a task force on science and technology for the President’s Commission on Law Enforcement and Administration of Justice. At that time, criminology was a very limited activity, depending almost exclusively on the Uniform Crime Reports (UCR) initiated by the FBI in 1929 for measurement of crime based on victim reports to the police and on police arrests. A ty- cal mode of analysis was simple bivariate correlation. Marvin Wolfgang and colleagues were makingan importantadvancebytrackinglongitudinaldata onarrestsin Philadelphia,an in- vation that was widely appreciated. And the ?eld was very small: I remember attending my ?rst meeting of the American Society of Criminology in about 1968 in an anteroom at New York University; there were about 25–30 people in attendance, mostly sociologists with a few lawyers thrown in. That Society today has over 3,000 members, mostly now drawn from criminology which has established its own clear identity, but augmented by a wide variety of disciplines that include statisticians, economists, demographers, and even a few engineers. This Handbook provides a remarkable testimony to the growth of that ?eld. Following the maxim that “if you can’t measure it, you can’t understand it,” we have seen the early dissatisfaction with the UCR replaced by a wide variety of new approaches to measuring crime victimization and offending.

Statistical Causal Inferences and Their Applications in Public Health Research

Statistical Causal Inferences and Their Applications in Public Health Research PDF Author: Hua He
Publisher: Springer
ISBN: 3319412590
Category : Medical
Languages : en
Pages : 324

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Book Description
This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, methodology is taught so that readers may implement it directly. The book brings together experts engaged in causal inference research to present and discuss recent issues in causal inference methodological development. This is also a timely look at causal inference applied to scenarios that range from clinical trials to mediation and public health research more broadly. In an academic setting, this book will serve as a reference and guide to a course in causal inference at the graduate level (Master's or Doctorate). It is particularly relevant for students pursuing degrees in statistics, biostatistics, and computational biology. Researchers and data analysts in public health and biomedical research will also find this book to be an important reference.

Residuals and Influence in Regression

Residuals and Influence in Regression PDF Author: R. D. Cook
Publisher: Chapman and Hall/CRC
ISBN:
Category : Juvenile Nonfiction
Languages : en
Pages : 248

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Book Description
Diagnostic methods using residuals; Assessment of influence; Alternative approaches to influence; Assessment of influence in other problems.

Analysis of Incomplete Multivariate Data

Analysis of Incomplete Multivariate Data PDF Author: J.L. Schafer
Publisher: CRC Press
ISBN: 9781439821862
Category : Mathematics
Languages : en
Pages : 470

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Book Description
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet.