6 edition of Meta-analysis by the confidence profile method found in the catalog.
Meta-analysis by the confidence profile method
David M. Eddy
|Statement||David M. Eddy, Vic Hasselblad, Ross Shachter.|
|Series||Statistical modeling and decision science|
|Contributions||Hasselblad, Victor., Shachter, Ross D.|
|LC Classifications||R853.S7 E34 1991|
|The Physical Object|
|Pagination||vii, 428 p. :|
|Number of Pages||428|
|LC Control Number||91016628|
The results are shown on the log hazard ratio scale. Figure 1 (right) shows the 95 % confidence interval width for τ2 in the NSCLC4 meta-analysis as a function of α2. The conventional ‘equal– α ’ approach (α1 = α2 =) yields a confidence interval for τ2 of (,).Cited by: 2. For the purpose of this study, stigma is operationalized as internalized stigma construed by the minority members (a.k.a. self-stigma) and their associates (a.k.a. affiliate stigma) across different stigmatized conditions. In this meta-analysis we examine the relations between stigma and various positive and negative indicators of mental by:
The Application of Meta-Analysis in Educational Research 47 better statistical methods. It is usually performed by researchers who did not participate in the first team, but can use the whole empirical material from the primary analysis. A meta-analysis is, however, a quantitative analysis of the research results (not an analysis of the data).File Size: KB. Meta-analysis is a research methodology that aims to integrate, by applying statistical methods, the results of a set of empirical studies about a given topic. To accomplish its purpose, a meta-analysis requires a thorough search of the relevant studies, and the results of each individual study have to be translated into the same metric (Cooper.
The ﬁrst book ‘Meta-Analysis in Social Research’ by G. V. Glass, B. McGraw and M. G. Smith  appeared in Subsequently, 9 books appeared by , 16 from to , and 16 since A review of the book ‘Statistical Methods for Meta-Analysis’. The evaluation of the credibility of results from a meta-analysis has become an important part of the evidence synthesis process. We present a methodological framework to evaluate confidence in the results from network meta-analyses, Confidence in Network Meta-Analysis (CINeMA), when multiple interventions are compared.
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This book describes a new set of meta-analytic methods known collectively as the Confidence Profile Method. This method contains techniques for interpreting individual experiments, adjusting the experiments for factors that affect their comparability or applicability to specific questions, and combining evidence from multiple by: The Confidence Profile Method is a form of meta-analysis.
It is a Bayesian method for interpreting, adjusting, and combining evidence to estimate a probability distribution for a parameter. Examples of parameters are health outcomes, economic outcomes, and variables that might be used in models, such as the sensitivity of a diagnostic test or the prevalence of a risk : Annetine C.
Gelijns. : Fast*Pro: Software for Meta-Analysis by the Confidence Profile Method (): Author Unknown: Books. Meta-Analysis by the Confidence Profile Method. David M. Eddy, Ross Shachter Meta-Analysis by the Confidence Profile Method David M. Eddy, Ross Shachter Over the past decade, a set of quantitative methods known as meta-analysis has been developed to help synthesize evidence to estimate the outcomes of different actions.
37 FURTHER METHODS FOR DICHOTOMOUS DATA Introduction Mantel-Haenszel method One-step (Peto) formula for Meta-analysis by the confidence profile method book ratio Summary points 38 PSYCHOMETRIC META-ANALYSIS Introduction The attenuating effects of artifacts Meta-analysis methods Example of psychometric meta-analysis In the context of a random effects model for meta-analysis, a number of methods are available to estimate confidence limits for the overall mean effect.
A simple and commonly used method is the DerSimonian and Laird approach. This paper discusses an alternative simple approach for constructing the confidence interval, based on the t-distribution.
Statistical Methods for Meta-Analysis () Larry V Hedges & Ingram Olkin New York: Academic Press. Like “The Handbook”, this book, published inhelped to open the field of meta-analysis to a generation of researchers, became an instant classic, and remains a valuable resource to this day.
Introduction. Meta-analysis is a statistical procedure that integrates the results of several independent studies considered to be “combinable.” 1 Well conducted meta-analyses allow a more objective appraisal of the evidence than traditional narrative reviews, provide a more precise estimate of a treatment effect, Cited by: Brief overview of meta-analysis The term meta-analysis refers to the analysis of the data obtained from a collection of studies that answer similar research questions.
These studies are known as primary studies. Meta-analysis uses statistical methods to produce an overall estimate of an effect, explore between-study heterogeneity.
Meta-analysis is the statistical combination of results from two or more separate studies. Potential advantages of meta-analyses include an increase in power, an improvement in precision, the ability to answer questions not posed by individual studies, and the opportunity to settle controversies arising from conflicting claims.
Related Content. Analysis of Variance via Confidence Intervals. Applying Meta-Analysis to Criminological Research: Best Practices in Data Cleaning: A Complete Guide Best Practices in Quantitative Methods. Confidence Intervals. Dropout Prevention Studies. 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. Meta-analysis: methods for quantitative data synthesis What is a meta-analysis. Meta-analysis is a statistical technique, or set of statistical techniques, for summarising the results of several studies into a single estimate.
Many systematic reviews include a meta-analysis, but File Size: KB. 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. Confidence intervals for 2 Confidence intervals (or uncertainty intervals) for I2 Meta-analysis methods Example of psychometric meta-analysis Comparison of artifact correction with meta-regression Books on meta-analysis The Confidence Profile Method is a new Bayesian method that can be used to assess technologies where the available evidence involves a variety of experimental designs, types of outcomes, and effect measures; a variety of biases; combinations of biases and nested biases; uncertainty about biases; an underlying variability in the parameter of interest Cited by: What is Meta-Analysis.
In this issue of the Irish Microbial Quantitative Risk Assessment Networks Tutorial Series, Dr Ursula Gonzales Barron explains Meta-analysis. Meta-analysis is a statistical technique for combining and summarizing the findings from individual studies.
With meta-analysis, a. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistical meta-analysis methods to real data using R.
Drawing on their extensive research and teaching experiences. 9 An Introduction to a Bayesian Method for Meta-Analysis: * The Confidence Profile Method DAVID M. EDDY, VIC HASSELBLAD, and ROSS SHACHTER The Confidence Profile Method is a form of meta-analysis.
It is a Bayesian method for interpreting, adjusting, and combining evidence to estimate a proba- bility distribution for a parameter.
A typical way to present a meta‐analysis is a forest plot, where each study is shown by its effect size and 95% confidence interval and the summary effect and 95% confidence interval are also shown ().Another common graphic presentation is a cumulative meta‐analysis plot, where studies are placed in order (e.g., chronological) and the summary estimate and 95% confidence interval are Cited by:.
Confidence intervals using the Q profile method. The proposed extension of the Paule-Mandel estimator is MathML. The Q profile 95% confidence interval is ( ) which is slightly wider than the intervals obtained using other methods and provided above. To summarise the results using the frequentist methods, Cited by: Part 2 Formulas of the confidence profile method: components of the confidence profile method; the general model; prior distributions; likelihood functions; bias functions; other functions; solution methods.• Glass called his method “meta-analysis” 3 The Emergence of Meta-Analysis • Ideas behind meta-analysis predate Glass’ work by several decades – R.
A. Fisher () • “When a number of quite independent tests of significance have been made, it sometimes happens that although few or File Size: KB.