Bayesian Methods For Measures Of Agreement

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Bayesian Methods for Measures of Agreement

Author : Lyle D. Broemeling
Publisher : CRC Press
Page : 340 pages
File Size : 53,6 Mb
Release : 2009-01-12
Category : Mathematics
ISBN : 1420083430

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Bayesian Methods for Measures of Agreement by Lyle D. Broemeling Pdf

Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process. The author employs a Bayesian approach to provide statistical inferences based on various models of intra- and interrater agreement. He presents many examples that illustrate the Bayesian mode of reasoning and explains elements of a Bayesian application, including prior information, experimental information, the likelihood function, posterior distribution, and predictive distribution. The appendices provide the necessary theoretical foundation to understand Bayesian methods as well as introduce the fundamentals of programming and executing the WinBUGS software. Taking a Bayesian approach to inference, this hands-on book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. With examples throughout and end-of-chapter exercises, it discusses how to successfully design and analyze an agreement study.

Bayesian Methods for Repeated Measures

Author : Lyle D. Broemeling
Publisher : CRC Press
Page : 568 pages
File Size : 55,7 Mb
Release : 2015-08-04
Category : Mathematics
ISBN : 9781482248203

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Bayesian Methods for Repeated Measures by Lyle D. Broemeling Pdf

Analyze Repeated Measures Studies Using Bayesian TechniquesGoing beyond standard non-Bayesian books, Bayesian Methods for Repeated Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many inferential methods for analyzing repeated measures in various scientific areas,

Advanced Bayesian Methods for Medical Test Accuracy

Author : Lyle D. Broemeling
Publisher : CRC Press
Page : 487 pages
File Size : 50,6 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781439838792

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Advanced Bayesian Methods for Medical Test Accuracy by Lyle D. Broemeling Pdf

Useful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and diagnostic tests, which are based on established information, usually from related previous studies. Advanced Bayesian Methods for Medical Test Accuracy begins with a review of the usual measures such as specificity, sensitivity, positive and negative predictive value, and the area under the ROC curve. Then the scope expands to cover the more advanced topics of verification bias, diagnostic tests with imperfect gold standards, and those for which no gold standard is available. Promoting accuracy and efficiency of clinical trials, tests, and the diagnostic process, this book: Enables the user to efficiently apply prior information via a WinBUGS package Presents many ideas for the first time and goes far beyond the two standard references Integrates reader agreement with different modalities—X-ray, CT Scanners, and more—to study their effect on medical test accuracy Provides practical chapter-end problems Useful for graduate students and consulting statisticians working in the various areas of diagnostic medicine and study design, this practical resource introduces the fundamentals of programming and executing BUGS, giving readers the tools and experience to successfully analyze studies for medical test accuracy.

Case Studies in Bayesian Statistical Modelling and Analysis

Author : Clair L. Alston,Kerrie L. Mengersen,Anthony N. Pettitt
Publisher : John Wiley & Sons
Page : 411 pages
File Size : 50,8 Mb
Release : 2012-10-10
Category : Mathematics
ISBN : 9781118394328

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Case Studies in Bayesian Statistical Modelling and Analysis by Clair L. Alston,Kerrie L. Mengersen,Anthony N. Pettitt Pdf

Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches. Case Studies in Bayesian Statistical Modelling and Analysis: Illustrates how to do Bayesian analysis in a clear and concise manner using real-world problems. Each chapter focuses on a real-world problem and describes the way in which the problem may be analysed using Bayesian methods. Features approaches that can be used in a wide area of application, such as, health, the environment, genetics, information science, medicine, biology, industry and remote sensing. Case Studies in Bayesian Statistical Modelling and Analysis is aimed at statisticians, researchers and practitioners who have some expertise in statistical modelling and analysis, and some understanding of the basics of Bayesian statistics, but little experience in its application. Graduate students of statistics and biostatistics will also find this book beneficial.

Quantitative Methods for HIV/AIDS Research

Author : Cliburn Chan,Michael G. Hudgens,Shein-Chung Chow
Publisher : CRC Press
Page : 309 pages
File Size : 48,6 Mb
Release : 2017-08-07
Category : Mathematics
ISBN : 9781498734257

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Quantitative Methods for HIV/AIDS Research by Cliburn Chan,Michael G. Hudgens,Shein-Chung Chow Pdf

Quantitative Methods in HIV/AIDS Research provides a comprehensive discussion of modern statistical approaches for the analysis of HIV/AIDS data. The first section focuses on statistical issues in clinical trials and epidemiology that are unique to or particularly challenging in HIV/AIDS research; the second section focuses on the analysis of laboratory data used for immune monitoring, biomarker discovery and vaccine development; the final section focuses on statistical issues in the mathematical modeling of HIV/AIDS pathogenesis, treatment and epidemiology. This book brings together a broad perspective of new quantitative methods in HIV/AIDS research, contributed by statisticians and mathematicians immersed in HIV research, many of whom are current or previous leaders of CFAR quantitative cores. It is the editors’ hope that the work will inspire more statisticians, mathematicians and computer scientists to collaborate and contribute to the interdisciplinary challenges of understanding and addressing the AIDS pandemic.

Applied Surrogate Endpoint Evaluation Methods with SAS and R

Author : Ariel Alonso,Theophile Bigirumurame,Tomasz Burzykowski,Marc Buyse,Geert Molenberghs,Leacky Muchene,Nolen Joy Perualila,Ziv Shkedy,Wim Van der Elst
Publisher : CRC Press
Page : 396 pages
File Size : 43,7 Mb
Release : 2016-11-30
Category : Mathematics
ISBN : 9781482249378

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Applied Surrogate Endpoint Evaluation Methods with SAS and R by Ariel Alonso,Theophile Bigirumurame,Tomasz Burzykowski,Marc Buyse,Geert Molenberghs,Leacky Muchene,Nolen Joy Perualila,Ziv Shkedy,Wim Van der Elst Pdf

An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment’s efficacy. When a true endpoint is difficult to use because of such factors as long follow-up times or prohibitive cost, it is sometimes possible to use a surrogate endpoint that can be measured in a more convenient or cost-effective way. This book focuses on the use of surrogate endpoint evaluation methods in practice, using SAS and R.

Statistical Methods for Healthcare Performance Monitoring

Author : Alex Bottle,Paul Aylin
Publisher : CRC Press
Page : 292 pages
File Size : 52,7 Mb
Release : 2016-08-05
Category : Mathematics
ISBN : 9781482246100

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Statistical Methods for Healthcare Performance Monitoring by Alex Bottle,Paul Aylin Pdf

Healthcare is important to everyone, yet large variations in its quality have been well documented both between and within many countries. With demand and expenditure rising, it’s more crucial than ever to know how well the healthcare system and all its components – from staff member to regional network – are performing. This requires data, which inevitably differ in form and quality. It also requires statistical methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions. Statistical Methods for Healthcare Performance Monitoring covers measuring quality, types of data, risk adjustment, defining good and bad performance, statistical monitoring, presenting the results to different audiences and evaluating the monitoring system itself. Using examples from around the world, it brings all the issues and perspectives together in a largely non-technical way for clinicians, managers and methodologists. Statistical Methods for Healthcare Performance Monitoring is aimed at statisticians and researchers who need to know how to measure and compare performance, health service regulators, health service managers with responsibilities for monitoring performance, and quality improvement scientists, including those involved in clinical audits.

Statistical Tools for Measuring Agreement

Author : Lawrence Lin,A. S. Hedayat,Wenting Wu
Publisher : Springer Science & Business Media
Page : 174 pages
File Size : 40,6 Mb
Release : 2012-10-30
Category : Mathematics
ISBN : 9781461405627

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Statistical Tools for Measuring Agreement by Lawrence Lin,A. S. Hedayat,Wenting Wu Pdf

Agreement assessment techniques are widely used in examining the acceptability of a new or generic process, methodology and/or formulation in areas of lab performance, instrument/assay validation or method comparisons, statistical process control, goodness-of-fit, and individual bioequivalence. Successful applications in these situations require a sound understanding of both the underlying theory and methodological advances in handling real-life problems. This book seeks to effectively blend theory and applications while presenting readers with many practical examples. For instance, in the medical device environment, it is important to know if the newly established lab can reproduce the instrument/assay results from the established but outdating lab. When there is a disagreement, it is important to differentiate the sources of disagreement. In addition to agreement coefficients, accuracy and precision coefficients are introduced and utilized to characterize these sources. This book will appeal to a broad range of statisticians, researchers, practitioners and students, in areas of biomedical devices, psychology, medical research, and others, in which agreement assessment are needed. Many practical illustrative examples will be presented throughout the book in a wide variety of situations for continuous and categorical data.

Methods in Comparative Effectiveness Research

Author : Constantine Gatsonis,Sally C. Morton
Publisher : CRC Press
Page : 575 pages
File Size : 40,6 Mb
Release : 2017-02-24
Category : Mathematics
ISBN : 9781466511972

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Methods in Comparative Effectiveness Research by Constantine Gatsonis,Sally C. Morton Pdf

Comparative effectiveness research (CER) is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care (IOM 2009). CER is conducted to develop evidence that will aid patients, clinicians, purchasers, and health policy makers in making informed decisions at both the individual and population levels. CER encompasses a very broad range of types of studies—experimental, observational, prospective, retrospective, and research synthesis. This volume covers the main areas of quantitative methodology for the design and analysis of CER studies. The volume has four major sections—causal inference; clinical trials; research synthesis; and specialized topics. The audience includes CER methodologists, quantitative-trained researchers interested in CER, and graduate students in statistics, epidemiology, and health services and outcomes research. The book assumes a masters-level course in regression analysis and familiarity with clinical research.

Benefit-Risk Assessment Methods in Medical Product Development

Author : Qi Jiang,Weili He
Publisher : CRC Press
Page : 296 pages
File Size : 45,7 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781482259377

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Benefit-Risk Assessment Methods in Medical Product Development by Qi Jiang,Weili He Pdf

Guides You on the Development and Implementation of B–R Evaluations Benefit–Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments provides general guidance and case studies to aid practitioners in selecting specific benefit–risk (B–R) frameworks and quantitative methods. Leading experts from industry, regulatory agencies, and academia present practical examples, lessons learned, and best practices that illustrate how to conduct structured B–R assessment in clinical development and regulatory submission. The first section of the book discusses the role of B–R assessments in medicine development and regulation, the need for both a common B–R framework and patient input into B–R decisions, and future directions. The second section focuses on legislative and regulatory policy initiatives as well as decisions made at the U.S. FDA’s Center for Devices and Radiological Health. The third section examines key elements of B–R evaluations in a product’s life cycle, such as uncertainty evaluation and quantification, quantifying patient B–R trade-off preferences, ways to identify subgroups with the best B–R profiles, and data sources used to assist B–R assessment. The fourth section equips practitioners with tools to conduct B–R evaluations, including assessment methodologies, a quantitative joint modeling and joint evaluation framework, and several visualization tools. The final section presents a rich collection of case studies. With top specialists sharing their in-depth knowledge, thought-provoking considerations, and practical advice, this book offers comprehensive coverage of B–R evaluation methods, tools, and case studies. It gives practitioners a much-needed toolkit to develop and conduct their own B–R evaluations.

Applied Biclustering Methods for Big and High-Dimensional Data Using R

Author : Adetayo Kasim,Ziv Shkedy,Sebastian Kaiser,Sepp Hochreiter,Willem Talloen
Publisher : CRC Press
Page : 407 pages
File Size : 43,6 Mb
Release : 2016-10-03
Category : Mathematics
ISBN : 9781482208245

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Applied Biclustering Methods for Big and High-Dimensional Data Using R by Adetayo Kasim,Ziv Shkedy,Sebastian Kaiser,Sepp Hochreiter,Willem Talloen Pdf

Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meaningful patterns in the vast amounts of data. Addressing these problems, Applied Biclustering Methods for Big and High-Dimensional Data Using R shows how to apply biclustering methods to find local patterns in a big data matrix. The book presents an overview of data analysis using biclustering methods from a practical point of view. Real case studies in drug discovery, genetics, marketing research, biology, toxicity, and sports illustrate the use of several biclustering methods. References to technical details of the methods are provided for readers who wish to investigate the full theoretical background. All the methods are accompanied with R examples that show how to conduct the analyses. The examples, software, and other materials are available on a supplementary website.

Quantitative Methods for Traditional Chinese Medicine Development

Author : Shein-Chung Chow
Publisher : CRC Press
Page : 430 pages
File Size : 54,6 Mb
Release : 2015-10-15
Category : Health & Fitness
ISBN : 9781482236002

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Quantitative Methods for Traditional Chinese Medicine Development by Shein-Chung Chow Pdf

A Western-Based Approach to Analyzing TCMs In recent years, many pharmaceutical companies and clinical research organizations have been focusing on the development of traditional Chinese (herbal) medicines (TCMs) as alternatives to treating critical or life-threatening diseases and as pathways to personalized medicine. Quantitative Methods for Traditional Chinese Medicine Development is the first book entirely devoted to the design and analysis of TCM development from a Western perspective, i.e., evidence-based clinical research and development. The book provides not only a comprehensive summary of innovative quantitative methods for developing TCMs but also a useful desk reference for principal investigators involved in personalized medicine. Written by one of the world’s most prominent biostatistics researchers, the book connects the pharmaceutical industry, regulatory agencies, and academia. It presents a state-of-the-art examination of the subject for: Scientists and researchers who are engaged in pharmaceutical/clinical research and development of TCMs Those in regulatory agencies who make decisions in the review and approval process of TCM regulatory submissions Biostatisticians who provide statistical support to assess clinical safety and effectiveness of TCMs and related issues regarding quality control and assurance as well as to test for consistency in the manufacturing processes for TCMs This book covers all of the statistical issues encountered at various stages of pharmaceutical/clinical development of a TCM. It explains regulatory requirements; product specifications and standards; and various statistical techniques for evaluation of TCMs, validation of diagnostic procedures, and testing consistency. It also contains an entire chapter of case studies and addresses critical issues in TCM development and FAQs from a regulatory perspective.

Statistical Design and Analysis of Clinical Trials

Author : Weichung Joe Shih,Joseph Aisner
Publisher : CRC Press
Page : 240 pages
File Size : 40,7 Mb
Release : 2015-07-28
Category : Mathematics
ISBN : 9781482250503

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Statistical Design and Analysis of Clinical Trials by Weichung Joe Shih,Joseph Aisner Pdf

Statistical Design and Analysis of Clinical Trials: Principles and Methods concentrates on the biostatistics component of clinical trials. Developed from the authors' courses taught to public health and medical students, residents, and fellows during the past 15 years, the text shows how biostatistics in clinical trials is an integration of many fu

Clinical Trial Data Analysis Using R and SAS

Author : Ding-Geng (Din) Chen,Karl E. Peace,Pinggao Zhang
Publisher : CRC Press
Page : 378 pages
File Size : 55,6 Mb
Release : 2017-06-01
Category : Mathematics
ISBN : 9781498779531

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Clinical Trial Data Analysis Using R and SAS by Ding-Geng (Din) Chen,Karl E. Peace,Pinggao Zhang Pdf

Review of the First Edition "The goal of this book, as stated by the authors, is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods. Overall, this book achieves the goal successfully and does a nice job. I would highly recommend it ...The example-based approach is easy to follow and makes the book a very helpful desktop reference for many biostatistics methods."—Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book’s practical, detailed approach draws on the authors’ 30 years’ experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that they can use these two popular software packages to analyze their own clinical trial data. What’s New in the Second Edition Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R packages. Includes correlated data analysis with multivariate analysis of variance. Applies R and SAS to clinical trial data from hypertension, duodenal ulcer, beta blockers, familial andenomatous polyposis, and breast cancer trials. Covers the biostatistical aspects of various clinical trials, including treatment comparisons, time-to-event endpoints, longitudinal clinical trials, and bioequivalence trials.

Design & Analysis of Clinical Trials for Economic Evaluation & Reimbursement

Author : Iftekhar Khan
Publisher : CRC Press
Page : 339 pages
File Size : 43,7 Mb
Release : 2015-11-11
Category : Mathematics
ISBN : 9781466505483

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Design & Analysis of Clinical Trials for Economic Evaluation & Reimbursement by Iftekhar Khan Pdf

Economic evaluation has become an essential component of clinical trial design to show that new treatments and technologies offer value to payers in various healthcare systems. Although many books exist that address the theoretical or practical aspects of cost-effectiveness analysis, this book differentiates itself from the competition by detailing