I am trying to do some meta analysis for the first time and am finding compiling trials into a database very difficult. I could use excel but wanted to ask experts if there is another software designed for this. Thank you for your help.
Personally, I think systematic reviews/meta-analyses require a multi-program approach. I think first creating a database using MS Access to collect study information will help with organization, and ease in data collection (in MS Access you can make a form to enter data into, but a spreadsheet supports the form in the background). Afterwards, you can export the data into excel, then export to Stata (or R, depending on which program you prefer). Both Stata and R have useful commands for meta-analyses, depending on what outcome you are interested in. In addition, it's probably a good idea to keep a database in EndNote (or similar program) as you need to keep track of your references and it's easy to use with MS Word when you're in the writing process. Good luck!
Personally, I think systematic reviews/meta-analyses require a multi-program approach. I think first creating a database using MS Access to collect study information will help with organization, and ease in data collection (in MS Access you can make a form to enter data into, but a spreadsheet supports the form in the background). Afterwards, you can export the data into excel, then export to Stata (or R, depending on which program you prefer). Both Stata and R have useful commands for meta-analyses, depending on what outcome you are interested in. In addition, it's probably a good idea to keep a database in EndNote (or similar program) as you need to keep track of your references and it's easy to use with MS Word when you're in the writing process. Good luck!
Revman is probably most user friendly programme for starting. It has a lot of limitations, but easiest to learn. But if you a large number of studies, then it is good to enter all the data in some other programme such as MS Excel and use as per requirement.
Stata has an entire suite of meta-analytic programs, as well as additional useful programs that complement the suite. I have tried various software programs for meta-analysis, and I find Stata's programs to be the easiest to us.
Ich bin mit Jonviea Danielle Chamberlain einverstanden. Ich denke, du musst sehr klar haben, die Forschungsfrage und und die Veränderliche, dass du messen brauchst . Es ist nötig, eine Datenbank zu erstellen, zum Beispiel Datenbank mit Access oder Epi-info. Diese Datenbanken können exportiert werden zu Excel oder Stata. Um Meta-Analysen zu machen kannst du REVMAN oder STATA benutzen.
I use RevMan since I don't have a budget.
Comprehensive Meta-Analysis has the most user friendly interface for data entry. You can see here. http://www.meta-analysis.com/pages/videotutorials.php#
I would go look at the open science framework (https://osf.io/) and search for a meta-analysis, you'll find a copy of their data which you might be able to use as a template.
Also I wrote an R package that lets you run a meta-analysis though your web browser, here's a link to an online version (http://kylehamilton.shinyapps.io/MAVIS_v1_0) and here is the R code (https://github.com/kylehamilton/MAVIS)
In case anyone is having problems accessing the web version of MAVIS I've put it on another server for the time being http://shiny.aaboyles.com/MAVIS/inst/shiny/
RevMan is the easiest one, but you can use Comprehensive Meta-analysis as well, simple and easy. If you have more statistics expertise, you can use STATA.
Cheers
Bruno
I would echo Comprehensive Meta-Analyst (see www.meta-analysis.com). version 3 has come out recently....lots of fundamental and advanced tools available and programming not required if this is something you're concerned about. RevMan also works well though some find it a bit more lengthy from start to finish to do a meta-analysis.
We have developed a simple and free tool to perform meta-analysis in Microsoft Excel that you could use. The tool is called Meta-Essentials and can be found at http://www.meta-essentials.com
Meta-Essentials can be used for all your basic meta-analyses. Moreover, it can be used for subgroup-analysis, moderator analysis, and publication bias analysis.
For more advanced meta-analyses like meta-regression, multilevel and network meta-analysis the metafor package for R might be useful for you. This can be found at http://www.metafor-project.org/
Best of luck!
MetaXL is the most user friendly and comprehensive of the lot with innovative methodologies added on
www.epigear.com
- Badges
- Science topic