applied multilevel analysis a practical guide for medical researchers practical guides to biostatistics and epidemiology

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Applied Multilevel Analysis

Author : Jos W. R. Twisk
ISBN : 9780521849753
Genre : Medical
File Size : 59. 81 MB
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This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians, and they focus on the mathematical background. These books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the application of multilevel analysis in research. It addresses the practical issues that confront those undertaking research and wanting to find the correct answers to research questions. This book is written for non-mathematical researchers and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyse the data. This approach will help to bridge the conceptual and communication gap that exists between those undertaking research and statisticians.

Applied Longitudinal Data Analysis For Epidemiology

Author : Jos W. R. Twisk
ISBN : 9781107030039
Genre : Medical
File Size : 89. 94 MB
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A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.

Measurement In Medicine

Author : Henrica C. W. de Vet
ISBN : 9781139497817
Genre : Medical
File Size : 61. 32 MB
Format : PDF, ePub, Mobi
Download : 397
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The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement properties, such as reliability, validity and responsiveness, and interpret the results. Worked examples and end-of-chapter assignments use real data and well-known instruments to build your skills at implementation and interpretation through hands-on analysis of real-life cases. All data and solutions are available online. This is a perfect course book for students and a perfect companion for professionals/researchers in the medical and health sciences who care about the quality and meaning of the measurements they perform.

Applied Mixed Models In Medicine

Author : Helen Brown
ISBN : 9781118778258
Genre : Medical
File Size : 70. 57 MB
Format : PDF, Docs
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Preventing And Treating Missing Data In Longitudinal Clinical Trials

Author : Craig H. Mallinckrodt
ISBN : 9781107311367
Genre : Medical
File Size : 31. 50 MB
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Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset.

Applied Missing Data Analysis

Author : Craig K. Enders
ISBN : 9781606236406
Genre : Psychology
File Size : 59. 78 MB
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Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website (www.appliedmissingdata.com) includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists.

Statistical Learning For Biomedical Data

Author : James D. Malley
ISBN : 9781139496858
Genre : Medical
File Size : 88. 36 MB
Format : PDF, Mobi
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This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random ForestsTM, neural nets, support vector machines, nearest neighbors and boosting.

Maternal And Child Health

Author : Jonathan B. Kotch
ISBN : 9781449611606
Genre : Medical
File Size : 65. 37 MB
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Maternal and Child Health: Programs, Problems, and Policy in Public Health, Third Edition takes a developmental approach to learning about Maternal and Child Health (MCH). Organized according to fundamental principles of MCH, the book covers traditional MCH topics such as family planning and maternal and infant health as well as skills that are applicable across Public Heath disciplines such as planning, research, monitoring, and advocacy. Successfully tested in prestigious academic programs of Public Health, Maternal and Child Health, Third Edition appeals to students across the health professions and those interested in women s health, reproductive health, maternal and infant health, the health of children and adolescents, including those with special needs. The Third Edition is a thorough update that includes: New chapters on Environmental Health, Life Course, Oral Health, and Monitoring and Evaluation. Streamlined chapters on Assessment and Planning, MCH Research, Rights and Justice, and Advocacy and Policy Development New and additional material on global health and health disparities in MCH New material in life course theory New ancillary course materials for instructors"

Longitudinal Data Analysis

Author : Garrett Fitzmaurice
ISBN : 142001157X
Genre : Mathematics
File Size : 53. 93 MB
Format : PDF, ePub, Mobi
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Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory and applications. It also focuses on the assorted challenges that arise in analyzing longitudinal data. After discussing historical aspects, leading researchers explore four broad themes: parametric modeling, nonparametric and semiparametric methods, joint models, and incomplete data. Each of these sections begins with an introductory chapter that provides useful background material and a broad outline to set the stage for subsequent chapters. Rather than focus on a narrowly defined topic, chapters integrate important research discussions from the statistical literature. They seamlessly blend theory with applications and include examples and case studies from various disciplines. Destined to become a landmark publication in the field, this carefully edited collection emphasizes statistical models and methods likely to endure in the future. Whether involved in the development of statistical methodology or the analysis of longitudinal data, readers will gain new perspectives on the field.

Measurement In Medicine

Author : Henrica C. W. de Vet
ISBN : 9781139497817
Genre : Medical
File Size : 65. 99 MB
Format : PDF, Kindle
Download : 513
Read : 224

Get This Book


The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement properties, such as reliability, validity and responsiveness, and interpret the results. Worked examples and end-of-chapter assignments use real data and well-known instruments to build your skills at implementation and interpretation through hands-on analysis of real-life cases. All data and solutions are available online. This is a perfect course book for students and a perfect companion for professionals/researchers in the medical and health sciences who care about the quality and meaning of the measurements they perform.

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