5 edition of Clinical Meta Analysis found in the catalog.
Clinical Meta Analysis
George Davey Smith
August 14, 2001
by John Wiley & Sons
Written in English
|The Physical Object|
|Number of Pages||150|
This book offers an invaluable resource for anyone aiming to improve decision-making processes in diagnosis, classification or risk prognostication, from epidemiologists to biostatisticians, radiologists, laboratory physicians and graduate students, as any physician interested in refining his methodological skills in clinical diagnosis. Meta-analysis is now the method of choice for assimilating research investigating the same question. This chapter is a nontechnical overview of the process of conducting meta-analysis in the context of clinical psychology. We begin with an overview of what meta-analysis aims to achieve. The process of conducting a meta-analysis is then described in six stages: (1) how to do a literature search Cited by: 6.
T1 - Meta-analysis, evidence-based medicine, and clinical guidelines. AU - Glasser, Stephen P. AU - Duval, Sue. PY - /1/1. Y1 - /1/1. N2 - Meta-analysis refers to methods for the systematic review of a set of individual studies (either from the aggregate data or the individual patient data) with the aim to quantitatively combine their Cited by: 2. applied to a speciﬁc clinical scenario than broad reviews about “aspects of surgical treatment of proximal tibia fractures”. Ideally, a meta-analysis should investigate a question that is well deﬁned. Text box 1. Evaluating a meta-analysis (Oxman and Guyatt , Bhandari et al. a) Was the research question focused and clearly.
This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows. Meta-Analysis: Overview and Application to Clinical Nursing Practice Cheryl Tatano Beck, DNSc, CNM, FAAN If nursing practice is to benefit from the abundance of nursing research being conducted, a technique is needed to synthesize and integrate the results of individual studies. Meta-analysis, a.
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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. 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 Cited by: Meta-analysis has become a popular approach for summarizing a large number of clinical trials and resolving discrepancies raised by these trials. In this chapter, we introduce the general procedures for meta-analysis: formulating the question, defining eligibility, identifying studies, abstracting data, statistical analysis, and reporting the.
Meta-analysis did not begin to appear regularly in the medical literature until the late s but since then a plethora of meta-analyses have emerged and the growth is exponential over time (Figure 2) er, it has been shown that meta-analyses are the most frequently cited form of clinical research merits and perils of the somewhat mysterious procedure of meta-analysis, however Cited by: “In this book, the authors present pragmatic and useful summaries of the necessary steps for conducting diagnostic accuracy meta-analysis.
Clinical Meta Analysis book is a great addition to this field, which has lacked a comprehensive introductory book intended for beginners.
Meta-analysis is the quantitative analysis of the Clinical Meta Analysis book included in an SR. In practice, this implies the combination of the results of several individual clinical trials using specialized statistical methodology. Such analyses are essentially observational, using trials as the unit of enrollment rather than individual patients.
Although there. With meta-analysis methods playing a crucial role in health research in recent years, this important and clearly-written book provides a much-needed survey of the field. Meta-analysis provides a framework for combining the results of several clinical trials and drawing inferences about the effectiveness of medical treatments.
The move towards evidence-based health care and practice is. I highly recommend this book to anyone doing meta-analysis in general, and meta-analysis with R, in particular. The book brings you up to speed quickly and the examples are relevant to actual research.
Using R for meta-analysis in this book is like "standing on the shoulders of giants" as one does their work on meta-analysis. Oscar A. Linares, MDCited by: APPLICATION OF META-ANALYSIS IN CLINICAL TRIALS, CONTINUED 2 1) EACH STUDY EFFECT SIZE The first step in meta-analysis calculation is to get the effect size estimation for each study.
Calculation of effect size between two means can be done by three measures: Cohen’s d, Hedges’ g, and Glass’ delta using formulas Size: KB.
This book, created to be the program’s user manual, has become over time a true text of meta-analysis dedicated to non-experts. Reading it, the clinical researcher learns step by step everything needed to read, interpret and verify a meta-analysis of the literature, but.
This guide shows you how to conduct meta-analyses in R from scratch. The focus of this guide is primarily on clinical outcome research in psychology. It was designed for staff and collaborators of the Protect Lab, which is headed by Prof.
David D. Ebert. Get R and RStudio set for your Meta-Analysis. Get your data into R. Meta-analyses are currently increasingly applied for any analysis beyond the primary analysis of studies, and for the analysis of big data. This chapter book was written for nonmathematical professionals of medical and health care, in the first place, but, in addition, for anyone involved in any field involving scientific research.
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. meta-analysis on studies of human health and behavior. On average, mechanical-prediction techniques were about 10% more accurate than clinical predictions. Depending on the specific analysis, mechanical prediction substantially outperformed clinical prediction in 33%% of studies examined.
Although. Introduction to Meta-Analysis 21 it is also possible to classify meta-analysis studies into one of two categories: (1) comparison of groups and (2) correlational meta-analysis (Durlak, ). Some of the best books on meta-analysis are listed here: 1.
Introduction to Meta-Analysis () Michael Borenstein, Larry V. Hedges, Julian P.T. Higgins, Hannah Rothstein Chichester: Wiley This book provides a very clear overview of meta-analysis. History.
The historical roots of meta-analysis can be traced back to 17th century studies of astronomy, while a paper published in by the statistician Karl Pearson in the British Medical Journal which collated data from several studies of typhoid inoculation is seen as the first time a meta-analytic approach was used to aggregate the outcomes of multiple clinical studies.
META-ANALYSIS IN CLINICAL TRIALS. For Meta-Analysis in Clinical Trials , we adopted this same random-effects approach to integrate the findings from a number of related clinical trials to strengthen the evidence for the efficacy of a certain treatment for a specified medical basic idea of the approach is the same, but here we assumed the treatment effect for the i-th study, Y i Cited by: 1 HOW A META-ANALYSIS WORKS 3 Introduction 3 Individual studies 3 The summary effect 5 Heterogeneity of effect sizes 6 Summary points 7 2 WHY PERFORM A META-ANALYSIS 9 Introduction 9 The streptokinase meta-analysis 10 Statistical significance 11 Clinical importance of the effect 12 Consistency of effects 12 Summary points 14 PART 2: EFFECT SIZE.
This book not only makes readers aware of why the meta-analysis approaches are derived, but also provides excellent practical skills to synthesize different clinical trials. I recommend this book as a nice reference for beginners and researchers who are interested in meta-analysis.".
In meta-analysis, we have the advantage of seeing a collection of publications rather than a single publication. If there is an underlying effect, we would expect to see a distribution of estimates around that true underlying effect, with more precise studies giving estimates closer to the true effect and less precise studies giving more Author: Malcolm R.
Macleod, Ezgi Tanriver-Ayder, Kaitlyn Hair, Emily Sena.(Kaplan, ); and (c) several controlled clinical trials of AMIs could be included that were not yet available for inclusion in any of the previous reviews.
To our knowledge, the current review is the first meta-analytic examination of the motivational interviewing literature. This meta-analysis is multidimensional (Westen & Morrison, Summary This chapter contains sections titled: Introduction Clinical trials: minimizing biases and random errors Large‐scale meta‐analysis Can observational studies substitute for large‐scale rando Cited by: 1.