Interestingly, metaanalysis in stata is one of statas strengths, yet all the commands to implement it are userwritten. Graphical methods are well developed for presenting the results of network metaanalysis salanti, ades, and. Network metaanalysis is a popular way to combine results from several studies usually randomized trials comparing several treatments or interventions. Metaanalysis is used to synthesise quantitative information from related studies and produce results that summarise a whole body of research. During this step, you specify the main information about your metaanalysis such as the studyspeci. We address the three topics covered in the previous issues of. For example, the mvmeta package for stata enables network metaanalysis in a frequentist framework. While using the programme the only thing should be done is to enter the necessary data into the data sheet and to click on the relevant buttons. Sterne, gathers all the stata journal articles about meta analysis into one place. Perform fixedeffect and randomeffects metaanalysis using the meta and metafor packages. We hope youre enjoying our guide on how to do meta analysis in r.
Check if selective outcome reporting publication bias or p. In this chapter we show in detail how to use the statistical package stata both to perform a meta analysis and to examine the data in more detail. Higgins 0 dimitris mavridis 0 panagiota spyridonos 0 georgia salanti 0 0 1 department of hygiene and epidemiology, school of medicine, university of ioannina, ioannina, greece, 2 school of social and community medicine. If you are using the official metaanalysis commands in stata 16, the collection of stata journal articles is still valuable because the collection contains information about metaanalysis, and not just information on the communitycontributed metaanalysis commands. Wilson for this workshop, we will be using several stata \ado les that i have created for performing metaanalysis. In this paper we provide guidance on how to undertake meta analysis using stata, one of the most commonly used software packages for meta analysis.
Randomeffects metaanalysis 1 we suppose the true treatment effect in each study is randomly, normally distributed between studies, with variance. Metaanalysis of observational studies in epidemiology. Chaimani a, higgins jpt, mavridis d, spyridonos p, salanti g graphical tools for network metaanalysis in stata anna chaimani 0 julian p. It has usually been performed in a bayesian setting, but recently it has become possible in a frequentist setting using multivariate meta analysis and meta regression, implemented in stata. Outlines the role of meta analysis in the research process shows. If all studies in the analysis were equally precise we could simply compute the mean of the effect sizes. To conduct a fixed or a random effects metaanalysis. Having nowhere to look in the stata documentation made it. Pdf a handson practical tutorial on performing metaanalysis with. Metaanalysis glass 1976 is a statistical technique for combining the results from several similar studies.
The materials you received for this class should have included the following \ado. Main metaanalysis in stataan updated collection from the stata journal metaanalysis in stataan updated collection from the stata journal tom m. Interestingly, metaanalysis in stata is one of statas strengths, yet all the commands to implement it are user. Meta analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to metaanalysis in stata idre stats ucla.
We will also be using other user created \ado les that are installable from within stata. An overall effect size is computed as a weighted average of studyspeci. This fourday course is dedicated to the learning of statistical methods of metaanalysis and their implementation in the stata softwa re. This book provides a clear and thorough introduction to metaanalysis, the process of synthesizing data from a series of separate studies. Metaanalysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Summary points getting started commands to perform a standard metaanalysis cumulative metaanalysis examining the influence of individual studies funn. This article describes updates of the metaanalysis command metan and options that have been added since the commands original publication bradburn, deeks, and altman, metan an alternative metaanalysis command, stata technical bulletin reprints, vol. The weights are determined by the chosen metaanalysis model. Metaxl employs the same metaanalysis methods that can be accessed in general statistical packages such as stata and in dedicated metaanalysis software, but makes two additional methods available. Brief overview of methods and general hints description r package meta is a userfriendly general package providing standard methods for meta analysis. Metaanalysis in stataan updated collection from the. The distinguishing feature of the comprehensive metaanalysis software programme from the other metaanalysis software programmes is to be most practical and to be understandable easily. Overview one goal of a metaanalysis will often be to estimate the overall, or combined effect.
A basic tutorial arindam basu university of canterbury may 12, 2017 concepts of metaanalyses meta analysis refers to a process of integration of the results of many studies to arrive at evidence syn. Subgroup analyses in metaanalysis may be used to investigate the possibility that treatment effects vary between subgroups. Hi there, i am seeking some help regarding the meta analysis of the prevalence data using the metaprop command. Stata 16 contains a suite of commands for performing meta analysis. On the other hand, the frequentist multivariate methods involve approximations and assumptions that are not stated explicitly or verified when the methods are applied see discussion on metaanalysis models above.
Below is a list of the five of the most common guidelines. Meta analysis is key to the synthesis of quantitative data within. Look at the help file for the command that you will be using. Either binary event or continuous data from two groups may be combined using the metan command. In this paper we provide guidance on how to undertake metaanalysis using stata, one of the most commonly used software packages for metaanalysis. Introduction to metaanalysis 21 it is also possible to classify metaanalysis studies into one of two categories. Stata module for fixed and random effects meta analysis, statistical software components s456798, boston college department of economics, revised 23 sep 2010. The term metaanalysis refers to the analysis of the data obtained from a collection of studies that answer similar research questions.
What is a metaanalysis in 1976, glass coined the term metaanalysis metaanalysis refers to the analysis of analyses the statistical analysis of a large collection of analysis results from individual studies for the purpose of integrating the findings. The purpose of this commentary is to expand on existing articles describing meta analysis interpretation,6,14,42,61 discuss differences in the results of a meta analysis based on the treatment questions, explore special cases in the use of meta analysis, and. Practical metaanalysis stata setup for workshop david b. The models described earlier can be thought of as special instances of a general linear mixed. Hi there, i am seeking some help regarding the metaanalysis of the prevalence data using the metaprop command. Nov 27, 2015 the models described earlier can be thought of as special instances of a general linear mixed.
If you are using the official meta analysis commands in stata 16, the collection of stata journal articles is still valuable because the collection contains information about meta analysis, and not just information on the communitycontributed meta analysis commands. Stata module for fixed and random effects metaanalysis. For this workshop, we will be using the meta analysis commands that were introduced in stata 16. Stata 16 contains a suite of commands for performing metaanalysis. Introduction to meta analysis 21 it is also possible to classify meta analysis studies into one of two categories.
In the following sections we provide an example of fixed and random effects metaanalysis using the metan command. A handson practical tutorial on performing metaanalysis with stata. Stata is a generalpurpose, commandline driven, programmable statisti cal package in which commands to perform several metaanalytic methods. Graphical tools for network metaanalysis in stata pdf.
Tackle heterogeneity using subgroup analyses and metaregression. This book provides a clear and thorough introduction to meta analysis, the process of synthesizing data from a series of separate studies. Sterne, gathers all the stata journal articles about metaanalysis into one place. Metaanalysis of studies with binary relative risk, odds ratio, risk. To account for dependence in effect sizes es due to multiple es per study i posited a 3 level multi level model. An updated collection from the stata journal, edited by jonathan a. This is a online handbook on how to perform meta analyses in r. This will include looking at the accumulation of evidence in cumulative meta analysis, using graphical. In fact, performing both subgroup analyses in metaanalysis in stata is very simple, and a major addition to metan is the ability to perform stratified or subgroup analyses. A cumulative metaanalysis is an iterative process in which the metaanalysis is run with the first study only, and then with first and second study only, and so on. Additionally, intervention effect estimates with corresponding standard errors or confidence intervals may be metaanalysed.
Before you start collecting the actual data for the meta analysis, decide which statistical software package will be used to analyze the data. Network meta analysis is a popular way to combine results from several studies usually randomized trials comparing several treatments or interventions. This will include looking at the accumulation of evidence in cumulative metaanalysis, using graphical. Below is the data set i have the command i used and the output i got. Advanced methods using the stata software lausanne, 36 september 2019 registration deadline. Interpretation of random effects metaanalyses the bmj. Stata press, a division of statacorp llc, publishes books, manuals, and journals about stata and general statistics topics for professional researchers of all disciplines. Glass, 1976, p3 metaanalysis techniques are needed because only. In this paper we provide guidance on how to undertake metaanalysis using stata, one of the most commonly used software packages for meta. Openingsaving a stata datafile quick way of finding variables subsetting using conditional if stata color coding system from spsssas to stata example of a dataset in excel from excel to stata copyandpaste. A comprehensive set of userwritten commands is freely available for metaanalysis.
In the following sections we provide an example of fixed and random effects meta analysis using the metan command. These routines provide facilities to conduct metaanalyses of data from more than one study and to graph the results. On the other hand, the frequentist multivariate methods involve approximations and assumptions that are not stated explicitly or verified when the methods are applied see discussion on meta analysis models above. An updated collection from the stata journal, second edition on free shipping on qualified orders. For example, the mvmeta package for stata enables network meta analysis in a frequentist framework. A handson practical tutorial on performing metaanalysis. In this chapter we show in detail how to use the statistical package stata both to perform a metaanalysis and to examine the data in more detail. A handson practical tutorial on performing metaanalysis with stata article pdf available in evidencebased mental health 174 october 2014 with 2,483 reads how we measure reads. The same is true for the creation of the funnel plot.
It reports individual effect sizes and the overall effect. The studies included in the metaanalysis are assumed to be a random sample of the relevant distribution of effects, and the combined effect estimates the mean effect in this distribution. Metaanalysis is key to the synthesis of quantitative data within. Ioannidis 2011, although the individual study data. Meta analysis of six studies 406 men and 539 women found a significant positive correlation between masculine and feminine personality traits and pain threshold and tolerance, with a small. It has usually been performed in a bayesian setting, but recently it has become possible in a frequentist setting using multivariate metaanalysis and metaregression, implemented in stata. Metaanalysis allows researchers to combine the results of several studies into a unified analysis that provides an overall estimate of the effect of interest. Pdf we present a revised version of the metareg command, which performs metaanalysis regression metaregression on studylevel summary data. Metaanalysis of prevalence data using metaprop command.
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