Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

Author: Chul Ahn
Publisher: CRC Press
ISBN: 1466556269
Format: PDF
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Accurate sample size calculation ensures that clinical studies have adequate power to detect clinically meaningful effects. This results in the efficient use of resources and avoids exposing a disproportionate number of patients to experimental treatments caused by an overpowered study. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research explains how to determine sample size for studies with correlated outcomes, which are widely implemented in medical, epidemiological, and behavioral studies. The book focuses on issues specific to the two types of correlated outcomes: longitudinal and clustered. For clustered studies, the authors provide sample size formulas that accommodate variable cluster sizes and within-cluster correlation. For longitudinal studies, they present sample size formulas to account for within-subject correlation among repeated measurements and various missing data patterns. For multiple levels of clustering, the level at which to perform randomization actually becomes a design parameter. The authors show how this can greatly impact trial administration, analysis, and sample size requirement. Addressing the overarching theme of sample size determination for correlated outcomes, this book provides a useful resource for biostatisticians, clinical investigators, epidemiologists, and social scientists whose research involves trials with correlated outcomes. Each chapter is self-contained so readers can explore topics relevant to their research projects without having to refer to other chapters.

A Handbook of Statistical Analyses using R Third Edition

Author: Torsten Hothorn
Publisher: CRC Press
ISBN: 1482204592
Format: PDF, Docs
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Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression, missing values, and Bayesian inference Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables Additional exercises More detailed explanations of R code New section in each chapter summarizing the results of the analyses Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses Whether you’re a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results.

Statistics with Confidence

Author: Douglas Altman
Publisher: John Wiley & Sons
ISBN: 1118702506
Format: PDF, ePub, Mobi
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This highly popular introduction to confidence intervals has been thoroughly updated and expanded. It includes methods for using confidence intervals, with illustrative worked examples and extensive guidelines and checklists to help the novice.

Joint Models for Longitudinal and Time to Event Data

Author: Dimitris Rizopoulos
Publisher: CRC Press
ISBN: 1439872864
Format: PDF, Kindle
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In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint Models for Longitudinal and Time-to-Event Data: With Applications in R provides a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory, focusing on applications of joint modeling, but sufficient mathematical details are provided to facilitate understanding of the key features of these models. All illustrations put forward can be implemented in the R programming language via the freely available package JM written by the author. All the R code used in the book is available at: http://jmr.r-forge.r-project.org/

Temporal Data Mining

Author: Theophano Mitsa
Publisher: CRC Press
ISBN: 9781420089776
Format: PDF
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Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today. From basic data mining concepts to state-of-the-art advances, Temporal Data Mining covers the theory of this subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation, similarity computation, data classification, clustering, pattern discovery, and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web usage mining, and spatiotemporal data mining. Along with various state-of-the-art algorithms, each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references. In the appendices, the author explains how data mining fits the overall goal of an organization and how these data can be interpreted for the purpose of characterizing a population. She also provides programs written in the Java language that implement some of the algorithms presented in the first chapter. Check out the author's blog at http://theophanomitsa.wordpress.com/

Spatial Complexity Informatics and Wildlife Conservation

Author: Samuel A. Cushman
Publisher: Springer Science & Business Media
ISBN: 9784431877714
Format: PDF, ePub
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As Earth faces the greatest mass extinction in 65 million years, the present is a moment of tremendous foment and emergence in ecological science. With leaps in advances in ecological research and the technical tools available, scientists face the critical task of challenging policymakers and the public to recognize the urgency of our global crisis. This book focuses directly on the interplay between theory, data, and analytical methodology in the rapidly evolving fields of animal ecology, conservation, and management. The mixture of topics of particular current relevance includes landscape ecology, remote sensing, spatial modeling, geostatistics, genomics, and ecological informatics. The greatest interest to the practicing scientist and graduate student will be the synthesis and integration of these topics to provide a composite view of the emerging field of spatial ecological informatics and its applications in research and management.

Advances in Statistical Methods for the Health Sciences

Author: Jean-Louis Auget
Publisher: Springer Science & Business Media
ISBN: 9780817645427
Format: PDF, ePub, Docs
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Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

Advances in Theoretical and Applied Statistics

Author: Nicola Torelli
Publisher: Springer Science & Business Media
ISBN: 3642355889
Format: PDF, ePub, Docs
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This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; methods for time series and spatial data; statistical modeling and data analysis; survey methodology and official statistics; analysis of social, demographic and health data; and economic statistics and econometrics.

Guide to Advanced Empirical Software Engineering

Author: Forrest Shull
Publisher: Springer Science & Business Media
ISBN: 1848000448
Format: PDF, ePub
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This book gathers chapters from some of the top international empirical software engineering researchers focusing on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Topics and features include guidance on how to design, conduct and report empirical studies. The volume also provides information across a range of techniques, methods and qualitative and quantitative issues to help build a toolkit applicable to the diverse software development contexts

Introduction to Public Health for Chiropractors

Author: Michael T. Haneline
Publisher: Jones & Bartlett Learning
ISBN: 0763758221
Format: PDF, ePub, Mobi
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Public health is of concern to practicing chiropractors, as well as chiropractic students. The vast majority of chiropractors utilize public health concepts every day as an integral part of patient care. For instance, they give advice on risk factors that should be avoided and protective factors to be added by their patients to enhance healing and prevent illness. Pubic health is also part of the curriculum at all chiropractic colleges and is tested by the National Board. No public health textbooks are available that are specifically designed for the chiropractor. Consequently, college instructors are forced to make-do with class notes and generic texts that do not address the specific issues relevant to chiropractic. This book will not only be of interest to chiropractic students, but also practicing chiropractors because it will provide information they can utilize to provide better care by positively intervening with their patients and their communities regarding public health matters.