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Meta-Analysis of Controlled Clinical Trials

Author : Anne Whitehead
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 12,53 MB
Release : 2003-01-17
Category : Mathematics
ISBN : 0470854197

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Over the last twenty years there has been a dramatic upsurge in the application of meta-analysis to medical research. This has mainly been due to greater emphasis on evidence-based medicine and the need for reliable summaries of the vast and expanding volume of clinical research. At the same time there have been great strides in the development and refinement of the associated statistical methodology. This book describes the planning, conduct and reporting of a meta-analysis as applied to a series of randomized controlled clinical trials. * The various approaches are presented within a general unified framework. * Meta-analysis techniques are described in detail, from their theoretical development through to practical implementation. * Each topic discussed is supported by detailed worked examples. * A comparison of fixed and random effects approaches is included, as well as a discussion of Bayesian methods and cumulative meta-analysis. * Fully documented programs using standard statistical procedures in SAS are available on the Web. Ideally suited for practising statisticians and statistically-minded medical professionals, the book will also be of use to graduate students of medical statistics. The book is a self-contained and comprehensive account of the subject and an essential purchase for anyone involved in clinical trials.

Meta-Analysis of Controlled Clinical Trials

Author : Anne Whitehead
Publisher : John Wiley & Sons
Page : 360 pages
File Size : 29,1 MB
Release : 2002-08-16
Category : Mathematics
ISBN : 9780471983705

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Over the last twenty years there has been a dramatic upsurge in the application of meta-analysis to medical research. This has mainly been due to greater emphasis on evidence-based medicine and the need for reliable summaries of the vast and expanding volume of clinical research. At the same time there have been great strides in the development and refinement of the associated statistical methodology. This book describes the planning, conduct and reporting of a meta-analysis as applied to a series of randomized controlled clinical trials. The various approaches are presented within a general unified framework. Meta-analysis techniques are described in detail, from their theoretical development through to practical implementation. Each topic discussed is supported by detailed worked examples. A comparison of fixed and random effects approaches is included, as well as a discussion of Bayesian methods and cumulative meta-analysis. Fully documented programs using standard statistical procedures in SAS are available on the Web. Ideally suited for practising statisticians and statistically-minded medical professionals, the book will also be of use to graduate students of medical statistics. The book is a self-contained and comprehensive account of the subject and an essential purchase for anyone involved in clinical trials.

Introduction to Randomized Controlled Clinical Trials

Author : John N.S. Matthews
Publisher : CRC Press
Page : 304 pages
File Size : 12,26 MB
Release : 2006-06-26
Category : Mathematics
ISBN : 1420011308

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Evidence from randomized controlled clinical trials is widely accepted as the only sound basis for assessing the efficacy of new medical treatments. Statistical methods play a key role in all stages of these trials, including their justification, design, and analysis. This second edition of Introduction to Randomized Controlled Clinical Trials prov

Small Clinical Trials

Author : Institute of Medicine
Publisher : National Academies Press
Page : 221 pages
File Size : 45,84 MB
Release : 2001-01-01
Category : Medical
ISBN : 0309171148

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Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.

Meta Analysis in Medicine and Health Policy

Author : Stangl/Berry
Publisher : CRC Press
Page : 360 pages
File Size : 12,76 MB
Release : 2000
Category : Electronic books
ISBN : 0824742052

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Analyses the data in health sciences and policy by introducing meta-analysis strategies while reviewing commonly used techniques. This text provides various chapters that build on principles, develop methodologies to solve statistical problems, and present concrete applications used by experienced medical practitioners and health policymakers.

Meta-analysis in Medical Research

Author : Gioacchino Leandro
Publisher : John Wiley & Sons
Page : 112 pages
File Size : 27,39 MB
Release : 2008-04-15
Category : Medical
ISBN : 1405143851

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This book is a joint package of a practical manual on how to undertake meta-analysis in medicine together with an accompanying CD-ROM. This provides individuals with access to meta-analysis software and the instructions and guidance on how to undertake them. The software package contains a computer program 'Metanalysis' which performs statistical analyses for the meta-analysis. It has some unique features currently not available in other meta-analysis software packages: ability to import graphics into Word, PowerPoint etc Galbraith's plots cumulative meta-analysis number needed to treat publication bias assessment The graphics generated by the software are in a format compatible with Microsoft PowerPoint. Click here to view sample graphics. Order your copy online today!

Finding What Works in Health Care

Author : Institute of Medicine
Publisher : National Academies Press
Page : 267 pages
File Size : 19,25 MB
Release : 2011-07-20
Category : Medical
ISBN : 0309164257

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Healthcare decision makers in search of reliable information that compares health interventions increasingly turn to systematic reviews for the best summary of the evidence. Systematic reviews identify, select, assess, and synthesize the findings of similar but separate studies, and can help clarify what is known and not known about the potential benefits and harms of drugs, devices, and other healthcare services. Systematic reviews can be helpful for clinicians who want to integrate research findings into their daily practices, for patients to make well-informed choices about their own care, for professional medical societies and other organizations that develop clinical practice guidelines. Too often systematic reviews are of uncertain or poor quality. There are no universally accepted standards for developing systematic reviews leading to variability in how conflicts of interest and biases are handled, how evidence is appraised, and the overall scientific rigor of the process. In Finding What Works in Health Care the Institute of Medicine (IOM) recommends 21 standards for developing high-quality systematic reviews of comparative effectiveness research. The standards address the entire systematic review process from the initial steps of formulating the topic and building the review team to producing a detailed final report that synthesizes what the evidence shows and where knowledge gaps remain. Finding What Works in Health Care also proposes a framework for improving the quality of the science underpinning systematic reviews. This book will serve as a vital resource for both sponsors and producers of systematic reviews of comparative effectiveness research.

Principles and Practice of Systematic Reviews and Meta-Analysis

Author : Sanjay Patole
Publisher : Springer Nature
Page : 189 pages
File Size : 15,31 MB
Release : 2021-06-26
Category : Medical
ISBN : 3030719219

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Evidence based medicine is at the core of modern medicine. It involves the integration of individual clinical expertise with the best available clinical evidence from systematic research and patient's values and expectations. Systematic reviews offer a summary of the best available evidence. They are the most reliable and comprehensive statement about what works. Written by clinical academics from Australia, UK, USA, and Switzerland, this contributed volume introduces the readers to the principles and practice of systematic reviews and meta-analysis. It covers the various steps involved in systematic reviews including development of a focused question and the strategy for conducting a comprehensive literature search, identifying studies addressing the underlying question, assessment of heterogeneity and the risk of bias in the included studies, data extraction, and the approach to meta-analysis. Crucial issues such as selecting the model for meta-analysis, generating and interpreting forest plots, assessing the risk of publication bias, cautions in the interpretation of subgroup and sensitivity analyses, rating certainty of the evidence using GRADE guideline, and standardized reporting of meta-analysis (PRISMA) are covered in detail. Every attempt is made to keep the narrative simple and clear. Mathematical formulae are avoided as much as possible. While the focus of this book is on systematic reviews and meta-analyses of randomised controlled trials (RCTs), the gold standard of clinical research, the essentials of systematic reviews of non-RCTs, diagnostic test accuracy studies, animal studies, individual participant data meta-analysis, and network meta-analysis are also covered. Readers from all faculties of medicine will enjoy this comprehensive and reader friendly book to understand the principles and practice of systematic reviews and meta-analysis for guiding their clinical practice and research.

Modern Methods of Clinical Investigation

Author : Institute of Medicine
Publisher : National Academies Press
Page : 241 pages
File Size : 12,97 MB
Release : 1990-02-01
Category : Medical
ISBN : 0309042860

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The very rapid pace of advances in biomedical research promises us a wide range of new drugs, medical devices, and clinical procedures. The extent to which these discoveries will benefit the public, however, depends in large part on the methods we choose for developing and testing them. Modern Methods of Clinical Investigation focuses on strategies for clinical evaluation and their role in uncovering the actual benefits and risks of medical innovation. Essays explore differences in our current systems for evaluating drugs, medical devices, and clinical procedures; health insurance databases as a tool for assessing treatment outcomes; the role of the medical profession, the Food and Drug Administration, and industry in stimulating the use of evaluative methods; and more. This book will be of special interest to policymakers, regulators, executives in the medical industry, clinical researchers, and physicians.