The use of network metaanalysis has increased dramatically in recent years. Introduction to bayesian data analysis using winbugs. The purpose of this workshop is to introduce bayesian metaanalysis bma, convey its scope and importance, followed by a handson training in winbugs. This tool allows the user to easily prepare and enter data, set model assumptions, and run the network meta analysis, with results being automatically displayed in an excel spreadsheet. To run winbugs on a mac you will first need to install a windows emulator e. Running a network metaanalysis using winbugs chris cameron. Further, critically appraising network meta analyses conducted in winbugs is challenging given the limited data analysis and graphical output fromwinbugs, thus network meta analyses often rely on different software packages. I am currently working on a meta analysis of survival data across several clinical trials. A particular strength of the group is the transferral of novel statistical methodology into practice through the development of software, use of. To remain consistent with the winbugs example, this model has been run for 3. For a version that bugs brugs that sits within the r statistical package, see the. Tackle heterogeneity using subgroup analyses and metaregression. Winbugs implements these simulations and samples them according to userdefined criteria. Comparison of bayesian network metaanalyses in a winbugs.
Winbugs, a freely available bayesian software package, has been the most widely used software package to conduct network meta analyses. The statistical methodology underpinning this technique and software tools for implementing the methods are evolving. Winbugs, a freely available bayesian software package, has. Jul 05, 2010 winbugs in about 6 minutes for the beginners. Historically, bayesian network metaanalyses have most often been conducted using winbugs. Running winbugs and openbugs from r columbia university. We also teach an alternative 3day course on network metaanalysis using bayesian methods in winbugs together with colleagues in leicester.
The course uses stata, and it is expected that participants are familiar with metaanalysis in stata. Despite its usefulness network metaanalysis is often criticized for its complexity and for being accessible only to researchers with strong statistical and computational skills. R interfaces with all three bayesian software programs mentioned above to conduct network metaanalyses with the use of appropriate packages. Biostatistics research group university of leicester. The most common choice of software for nma is winbugs, in part because there is. I am running a network metaanalysis model using winbugs via r, with the r package r2winbugs. The biostatistics research group specialises in the development, application and teaching of statistical methods in medical research with the ultimate aim of improving the health of the population.
I can also do a network metaanalysis using the frequentist approach with the netmeta r package. The meta analysis data are given in the winbugs manual in the form of r style lists. At the end of the workshop, participants will be sensitized to the concepts of bma and receive practical tips on performing bma. Check if selective outcome reporting publication bias or p. The goals of metaanalysis may be summarized as follows. Running a network metaanalysis using winbugs video dailymotion. We have found many books and articles on metaanalysis. Setting up r, winbugs, and openbugs to run winbugs from r write a bugs model in a file with a.
Which software can create a network metaanalysis for free. Network metaanalysis is a general term for the statistical method used to compare multiple treatments and their alternatives simultaneously. Sep 29, 2014 the use of network meta analysis has increased dramatically in recent years. Winbugs code and data to reproduce our network metaanalysis from control strategies to prevent total hip replacementrelated infections. Lu and ades proposed the first bayesian network metaanalysis models in 2004 their paper was accompanied by winbugs code 1. Background the use of network metaanalysis has increased dramatically in recent years. Running winbugs and openbugs from r the software on this page gets updated. Hrs were estimated by bayesian network metaanalysis using winbugs 1. Software for network metaanalysis general purpose software. Network metaanalysis with winbugs and stata university of. Network metaanalysis nma of clinical trial outcomes is usually based on. Jun 02, 2012 step by step instructions on how to run a network meta analysis using winbugs.
Software for semiparametric regression using mcmc, inference. Background to bugs the bugs bayesian inference using gibbs sampling project is concerned with flexible software for the bayesian analysis of complex statistical models using markov chain monte carlo mcmc methods. The user is not required to program in openbugs, winbugs or jags in order to implement these packages, minimizing the programming required of the user. Software for network meta analysis general purpose software. This file was read into stata using wbdecode and the meta analysis was plotted using the stata command meta in figure 1. Pdf a microsoftexcelbased tool for running and critically. Network metaanalysis nma a statistical technique that allows comparison of multiple treatments in the same metaanalysis simultaneously has become increasingly popular in the medical literature in recent years. A bayesian network metaanalysis to synthesize the influence. Bayesian analysis using gibbs sampling is a versatile package that has been designed to carry out markov chain monte carlo mcmc computations for a wide variety of bayesian models. This tool was designed to allow users to run network meta analyses, as well as to appraise bayesian network meta analyses using winbugs via a more userfriendly microsoft excel interface.
Perform fixedeffect and randomeffects metaanalysis using the meta and metafor packages. It describes the implementation of network metaanalysis in stata note that stata. Alternatives to winbugs for network metaanalysis value in health. Bayesian, brugs, linux, mixed treatment comparisons, network metaanalysis, openbugs, r, statistics some software options for bayesian statistics on 64bit linux posted on november 14, 2014 by monkey posted in tips, tricks and notes no comments v. In order to explore the use of stan for network meta analysis, we reprogrammed the winbugs models from the nice dsu tsd 2 in stan. These were copied and pasted into the text file data. The winbugs software can be called from either r provided r2winbugs as an r package or stata software for network meta analysis. A microsoftexcelbased tool for running and critically. The metaanalysis data are given in the winbugs manual in the form of r style lists. Netmetaxl 22 is based entirely within microsoft excel and provides a user. The use of network meta analysis has increased dramatically in recent years. I am currently working on a metaanalysis of survival data across several clinical trials. This tool was designed to allow users to run network metaanalyses, as well as to appraise bayesian network metaanalyses using winbugs via a more userfriendly microsoft excel interface.
Software for bayesian network metaanalyses quantics biostatistics. Bayesian inference using gibbs sampling language for specifying complex bayesian models constructs objectoriented internal representation of the model simulation from full conditionals using gibbs sampling current versions. However, when running this code using the data from the published analysis, i am unable to replicate their results. Probably the most popular and flexible software for bayesian statistics around. While several types of software are available, winbugs is the preferred statistical package to conduct network metaanalysis nma. Metaanalysis of hazard ratios statistical software. Application of netmetaxl using an illustrative example step 1. The course uses stata, and it is expected that participants are familiar with meta analysis in stata. Read bayesian population analysis using winbugs a hierarchical perspective pdf online.
Head to head trials are not always be available or few increasing trend of payers asking for the evidence generated from a nma to guide their coverage and reimbursement decisions definition combine direct and indirect evidence in a complete network can in corporate study level covariates nma regression. The current versions of netmetaxl only allow the user to apply bayesian network metaanalysis for binomial data and logistic regression models. The method involves combining direct and indirect evidence in a single analysis, resulting in summary estimates of efficacy or safety for treatments that may not have been compared headtohead in a. Comparison of bayesian network metaanalyses in a winbugs and. A microsoftexcel based tool for running and critically. A microsoftexcelbased tool for running and critically appraising network metaanalysesan overview and application of netmetaxl. This research aims to compare results from meta analyses conducted in winbugs and sas. While several types of software are available, winbugs is the preferred statistical package to conduct network meta analysis nma. Dec 26, 2014 network metaanalysis nma a statistical technique that allows comparison of multiple treatments in the same metaanalysis simultaneously has become increasingly popular in the medical literature in recent years. Bugs was first released in 1993 and was followed by winbugs in. This tool allows the user to easily prepare and enter data, set model assumptions, and run the network metaanalysis, with results being automatically displayed in an excel spreadsheet. The winbugs software can be called from either r provided r2winbugs as an r package or stata software for network metaanalysis. However i see that most of the publications are based on winbugs models within a bayesian approach, i tried learning alone winbugs programming but i cant find a good place where to start and i cant afford workshops because im still a student.
Planning a network metaanalysis quantics biostatistics. Introduction to network metaanalysis bristol medical. I get two trap errors in winbugs just as winbugs is about to close and r is about to import the coda. Winbugs, a freely available bayesian software package, has been the most widely used software package to conduct network metaanalyses. Methodology open access a microsoftexcelbased tool for. For each comparison, the log hrs for pfs and os were estimated alternatively using multivariate network meta. Part ii posted by john in bayesian analysis with stata on september 26, 2014 this is the second in a series of posting about conducting advanced statistical analyses in stata by sending a job to r and then reading the results back into stata. We have found many books and articles on meta analysis. Furthermore, critical appraisal of network metaanalyses. Winbugs code to run a network metaanalysis qut eprints. The goals of meta analysis may be summarized as follows.
Brown, stephen hutton, brian clifford, tammy coyle, doug grima, daniel wells, george cameron, chris. Despite being widely used in the pharmaceutical industry, sas use in nma is limited. A microsoftexcelbased tool for running and critically appraising. Has a powerful model description language, and uses markov chain monte carlo to do a full bayesian analysis. We also teach an alternative 3day course on network meta analysis using bayesian methods in winbugs together with colleagues in leicester. Network metaanalysis of progressionfree survival and. Bugs winbugs bayesian inference using gibbs sampling. The software is currently distributed electronically from the. Winbugs requires thorough knowledge of bayesian statistics to create and evaluate models appropriately. Here we focus on one example, providing the equivalent stan code for program number 7 b in the nice dsu tsd 2 pg 95, which consists of a fixed effect model for a normally distributed continuous outcome. Background the use of network meta analysis has increased dramatically in recent years. This file was read into stata using wbdecode and the metaanalysis was plotted using the stata command meta in figure 1. A network metaanalysis toolkit cochrane comparing multiple. Winbugs can be used as a standalone application but can also be integrated with r statistical software using the r2winbugs package in r.
To do this, i have code from a published analysis using the same methodology. Running a network metaanalysis using winbugs youtube. Unlike r, stata software needs to create relevant ado scripts at. Despite its usefulness network metaanalysis is often criticized for its complexity and for being accessible only to researchers with strong statistical and. Step by step instructions on how to run a network meta analysis using winbugs.
Network metaanalysis synthesizes direct and indirect evidence in a network of trials that compare multiple interventions and has the potential to rank the competing treatments according to the studied outcome. But for bayesian network metaanalysis to be of maximum utility in education research, there is a need for more multiple treatment studies to enhance researchers ability to a strengthen comparisons salanti et al. Bayesian metaanalysis handson in winbugs colloquium abstracts. To check that you have the patched version, open winbugs, go to the help menu and click about winbugs. Bayesian metaanalysis handson in winbugs colloquium. However, the learning curve for winbugs can be daunting, especially for new users. The purpose of this workshop is to introduce bayesian meta analysis bma, convey its scope and importance, followed by a handson training in winbugs. This research aims to compare results from metaanalyses conducted in winbugs and sas. Winbugs, openbugs, jags bayesian by far most used, most exible meta regression software frequentist multivariate meta analysis software frequentist e. Winbugs, a freely available bayesian software package, has been the most widely used software package to. Winbugs, openbugs, jags bayesian by far most used, most exible metaregression software frequentist multivariate metaanalysis software frequentist e.
Methodology open access a microsoftexcelbased tool. Further, critically appraising network metaanalyses conducted in winbugs is challenging given the limited data analysis and graphical output fromwinbugs, thus network metaanalyses often rely on different software packages. Winbugs weibull network metaanalysis stack overflow. In order to explore the use of stan for network metaanalysis, we reprogrammed the winbugs models from the nice dsu tsd 2 in stan.