Percentage study weights are also helpful for methodological purposes, for example to. Ma have been proposed, often making different assumptions and modeling choices while addressing a similar. Detailed, flexible forest plots may be produced, including outside the context of formal metaanalysis. This module should be installed from within stata by typing ssc install. We recommend that participants have a background in statistics as the course assumes a good understanding of core statistical principles and topics, such as regression methods such as linear, logistic, and cox, parameter estimation and interpreting software output. Onestage ipd metaanalysis yields more precise and less biased estimates of effect, maximizes the power, and accounts for parameter correlation. Mrc clinical trials unit at ucl statistical software components from boston college department of economics. Stata module for performing twostage ipd metaanalysis, statistical software components s457785, boston college department of economics, revised 04 feb 2019. The results of a meta analysis are often shown in a forest plot.
These commands have been renamed in stata to mixed and meqrlogit, respectively. We also adjusted the models for the effect of the multistage cluster sampling. Firstline ovulation induction for polycystic ovary. It is a userfriendly way of conducting stats without having to deal with the r code itself. Mar 22, 2019 a meta analysis on individual patient data ipd is regarded as the gold standard for meta analysis because it allows standardized analytical techniques across studies, the testing of interaction effects with covariates at the level of the patient, and the use of consistent analyses for timetoevent outcomes 4, 5. Oct 08, 2015 meta analysis allows researchers to combine the results of several studies into a unified analysis that provides an overall estimate of the effect of interest. Second, we conducted a metaanalysis of those ors from the logistic regression analysis to investigate the effect of womens empowerment on neonatal, infant and under5 mortality for each country and region using randomeffects metaanalysis tools in stata.
In this article, we describe a new individual patient data metaanalysis postestimation command, ipdforest. An updated collection from the stata journal, 2nd edition metaanalysis allows researchers to combine results of several studies into a unified analysis that provides an overall estimate of the effect of interest and to quantify the uncertainty of that estimate. Statacorp hereby expressly disclaims and excludes all warranties and conditions, whether statutory, express, implied, or otherwise, with respect to the datasets, including, but not limited to, any implied warranty of merchantability, fitness for a particular. This collection of articles from the stata journal and stata technical bulletin will be indispensable to researchers who wish to conduct metaanalyses using stata and learn about the. Threelevel survival models ipd metaanalysis of recurrent event data last updated on apr 19, 2018 the do file with all the code from this tutorial is available to download. As adjusted metaanalyses of aggregate data can be challenging.
Odds ratio table with forest plot statalist the stata forum. There is increasing recognition that individual participant data ipd meta analysis is a better basis for modeling treatment effects than are aggregate data meta analyses. Metaanalyses that synthesize results from multiple studies inform health professionals about the best available care and are an essential part of evidencebased medicine 1, 2. It emphasizes the practical importance of the effect size instead of the statistical significance of individual studies. Onestage ipd metaanalysis with a hierarchical model was applied to estimate sleep duration effects on hyperglycemia and gdm across studies.
The ippic project will be undertaken using existing recommendations on prognostic research model development and validation 14,15,16, and by adhering to recent reporting guidelines for prediction models and ipd metaanalysis 17, 18. Odds ratio table with forest plot statalist the stata. In order to issue hlm commands via the command line from any directory, we need to add hlm to the path. 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. The main analysis will be conducted using hierarchical onestage ipd metaanalysis models, examining the effect of treatmentpredictor interaction on outcome for each of the candidate predictors and describing relevant subgroup effects where significant interaction effects are detected. The command produces a forest plot following a onestage metaanalysis with xtmixed or xtmelogit. In this article, i describe a command, ipdmetan, that facilitates twostage individual participant data metaanalysis of any measure of effect and its standard error. This shift in thinking has been termed meta analytic thinking. White, 2015 on live birth and clinical pregnancy and then compared the results with a network metaanalysis of all eligible rcts. Early versus delayed flow diversion for ruptured intracranial. Stata module for performing twostage ipd meta analysis, statistical software components s457785, boston college department of economics, revised 04 feb 2019. This package provides functions to estimate an ipd linear mixed effects model for a continuous outcome and any categorical covariate from study summary statistics. A new, comprehensive metaanalysis command statalist.
To install the datasets that were used in the metaanalysis in stata, type. As of stata 16, stata has an official suite of metaanalysis commands. The course is aimed at individuals that want to learn how to plan and undertake an ipd metaanalysis. The historical roots of metaanalysis can be traced back to 17th century studies of astronomy, while a paper published in 1904 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 metaanalytic approach was used to aggregate the outcomes of multiple clinical studies. The main analysis will be conducted using hierarchical onestage ipd meta analysis models, examining the effect of treatmentpredictor interaction on outcome for each of the candidate predictors and describing relevant subgroup effects where significant interaction effects are detected. An ipd metaanalysis can be achieved by either a twostage or a onestage approach, depending on whether the. An ipd metaanalysis can be achieved by either a twostage or a onestage approach, depending on whether the trials are analysed separately or simultaneously. Metaregression models can be used to analyse associations between treatment effect and study characteristics. As of stata 16, stata has an official suite of meta analysis commands. Datasets used in this book and available here are provided on an as is and where is basis and without warranty of any type or kind. For standard twostage ipd metaanalysis, the studyspecific effect. If ipd is available for certain studies and aggregate data for others, ipdmetan allows them to be combined in a single analysis. Association between chronic physical conditions and the.
Assessing the neuroprotective benefits for babies of. The meta analysis function of jasp is based on the aforementioned metafor r package. Detailed, flexible forest plots may be produced, including outside the context of formal meta analysis. These data can then be reanalysed centrally and combined, if appropriate, in metaanalyses. An updated collection from the stata journal, second edition, which brought. Individual participant data ipd ma uses original, raw. Simulationbased power calculations for mixed effects. A set of routines for conducting twostage individual participant meta analysis, aggregate summary data meta analysis, and for creating highquality forest plots. Randomeffects and heterogeneity statistics may be estimated, and additional covariates and interactions included.
External validation, update and development of prediction. If you wish to have greater control over the look of the. In this chapter we show in detail how to use the statistical package stata both to perform a metaanalysis and. A onestep ipd metaanalysis approach will be used because it yields less biased estimates and has better performance in terms of power than a twostep approach in which a treatment. A free powerpoint ppt presentation displayed as a flash slide show on id. In comparison with traditional meta analysis, ipd meta analysis allows both studylevel and patientlevel interactions.
Richard d riley and colleagues describe the rationale for an individual participant data metaanalysis and outline how to conduct this type of study metaanalysis methods involve combining and analysing quantitative. This module should be installed from within stata by typing. Predictors of the effects of treatment for shoulder pain. See statas full list of official metaanalysis features stata users have also developed numerous excellent commands for performing metaanalyses. Meta analysis leads to a shift of emphasis from single studies to multiple studies. Associations of womens empowerment with neonatal, infant. There are a range of metaanalysisforest plot commands that can be used for the purpose. Twostage individual participant data metaanalysis and. An updated collection from the stata journal, second edition, which brought together all the stata journal. The command produces a forest plot following a onestage meta analysis with xtmixed or xtmelogit. Stata users have also developed numerous excellent commands for performing meta analyses. Daj, lg and rlh analysed the data using stata ic, v. The use of individual participant data instead of aggregate data in meta analyses has many potential advantages, both statistically and clinically. In this section you can download the metaeasy excel addin, described in the journal of statistical software click here for the paper.
Stata module to produce forest plot for individual. This type of analysis is done through command line interactively. Richard d riley and colleagues describe the rationale for an individual participant data meta analysis and outline how to conduct this type of study meta analysis methods involve combining and analysing quantitative evidence from related studies to. The module is made available under terms of the gpl v3. Metaanalysis in stataan updated collection from the stata. In a 1stage ipd metaanalysis, we merged all ipd from all studies with participants nested within studies. A range of onestage hierarchical cox models have been. Stata module to produce forest plot for individual patient data ipd metaanalysis one stage. Jasp is a free, opensource program used to perform statistical analysis tests by using r packages.
We compare the risk of infarction in the two groups after receiving the interventions. Keele university individual participant data metaanalysis. Individual patient data metaanalysis of combined treatments. There are also functions for estimating the power of a treatmentcovariate interaction test in an individual patient data metaanalysis from aggregate data. To conduct a meta analysis in jasp, be sure to check our their guide. Simulationbased power calculations for mixed effects modeling. A metaanalysis on individual patient data ipd is regarded as the gold standard for metaanalysis because it allows standardized analytical techniques across studies, the testing of. The linear and logit mixedeffect models were applied for hyperglycemia and gdm, respectively, in which sleep duration was considered as a randomeffect across studies. Pdf a short guide and a forest plot command ipdforest for one.
The course is aimed at individuals that want to learn how to plan and undertake an ipd meta analysis. Randomeffects metaanalysis article pdf available in stata journal 103. Over the past few years, numerous methods for conducting an ipd meta. An individual patient data ipd meta analysis is often considered the goldstandard for synthesising survival data from clinical trials. The objectives of the amicable ipdma were to assess, using ipd methods and meta. Onestep metaanalysis was undertaken because it is less susceptible to bias, is most efficient in terms of power, and allows for sophisticated modeling of covariates age, sex, and baseline depression scores in the present study. However, it does have various functionalities that my programs do not yet. Stata module to produce forest plot for individual patient data ipd metaanalysis one stage downloadable. The advantages of individual participant data metaanalysis ipdma for exploring interactions between treatment and participantlevel characteristics and enabling examination of differential treatment effects between subgroups are well described 17,18,19. This module should be installed from within stata by typing ssc install ipdmetan. Meta analysis in stata an updated collection from the stata journal tom m.
This collection of articles from the stata journal and stata technical bulletin will be indispensable to researchers who wish to conduct meta analyses using stata and learn about the. Short sleep duration and hyperglycemia in pregnancy. For those of you who attended the london stata conference back in. Pdf simulationbased power calculations for mixed effects. An updated collection from the stata journal, second edition metaanalysis allows researchers to combine results of several studies into a unified analysis that provides an overall estimate of the effect of interest and. See stata s full list of official meta analysis features. Deriving percentage study weights in multiparameter meta. In this article, we describe a new individual patient data meta analysis postestimation command, ipdforest. The use of individual participant data instead of aggregate data in metaanalyses has many potential advantages, both statistically and clinically.
Stata module to produce forest plot for individual patient data ipd metaanalysis one stage, statistical software components s457616, boston college department of economics, revised 14 sep 2019. Internetbased cognitive behavioral therapy for treatment. Individual patient data metaanalysis of survival data using. In ipd meta analysis, the association between future outcome and patientlevel characteristics and study level characteristics setting, timing, study design can be assessed more reliably. An individual patient data ipd metaanalysis is often considered the goldstandard for synthesising survival data from clinical trials. This edition also adds three new topicspecific sections for multivariate or multiple outcomes metaanalysis, individual participant data ipd metaanalysis, and. The meta analysis is a vknown model and is done through the command interface. 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.
For onestage individual patient data ipd meta analysis we have developed ipdforest for stata decribed here with prepublication version here. Metaanalysis in stataan updated collection from the. A range of onestage hierarchical cox models have been previously proposed, but these are known to. Hlm textbook examples multilevel analysis techniques and. Onestage ipd meta analysis with a hierarchical model was applied to estimate sleep duration effects on hyperglycemia and gdm across studies. Rather than extracting summary aggregate data from study publications or from investigators, the original research data are sought directly from the researchers responsible for each study.
To evaluate the ipd availability bias, we performed a network metaanalysis of rcts with ipd in a randomeffects multivariate metaanalysis model riley et al. Metaanalysis allows researchers to combine the results of several studies into a unified analysis that provides an overall estimate of the effect of interest. The metaanalysis is a vknown model and is done through the command interface. Metaanalysis in stataan updated collection from the stata journal tom m. An updated collection from the stata journal, second edition meta analysis allows researchers to combine results of several studies into a unified analysis that provides an overall estimate of the effect of interest and to quantify the uncertainty of that estimate. Internetbased cognitive behavioral therapy for treatment of. Our ipd metaanalysis approach followed published guidelines. These data can then be reanalysed centrally and combined, if appropriate, in meta analyses. Stata module to produce forest plot for individual patient data ipd meta analysis one stage, statistical software components s457616, boston college department of economics, revised 14 sep 2019. Individual patient data metaanalysis of survival data. The twostage routine, ipdmetan, loops over a series of categories, fits the desired model to the data within each, and generates pooled effects, heterogeneity statistics.
1285 624 841 503 824 403 273 168 70 1063 646 1365 878 456 505 79 529 1133 1427 543 1343 607 828 829 502 870 1383 850 202 48 474 823 280 907 864 1164 1388 475 1330 938 883 828 1011