Is RevMan free in 2026? RevMan Web vs RevMan 5 vs R for your first meta-analysis

Is RevMan free in 2026?

No, not for most people. As of October 2026, Cochrane gives RevMan (Review Manager, its software for writing systematic reviews and running meta-analyses, which pool the results of several studies into one estimate) free only to authors working on Cochrane reviews and to people living in Research4Life countries; everyone else pays an annual subscription of £130, £100 for academics or £80 for students, plus VAT in the UK and EU (Cochrane RevMan pricing).

There are four ways to use RevMan without paying the full price:

• You're an author on a Cochrane review
• You live in a Research4Life country
• Your university pays for it
• You only want to try it

You're an author on a Cochrane review: Access is free while you work on a Cochrane review. Use RevMan for a non-Cochrane review and you get a discount instead (Cochrane).

You live in a Research4Life country: Research4Life is a partnership that gives institutions in lower-income countries free or low-cost access to research content. Cochrane uses its country lists, and the discount shows when you log in. India isn't on them (see below).

Your university pays for it: Some organisations sponsor free access for their students, so ask your library first (RevMan Knowledge Base).

You only want to try it: A practice review is free, but it's deleted after 30 days, can't be exported and allows only one person (Cochrane). It's for learning the buttons, not your real project.

You'll still see RevMan called "free software" in older tutorials, some library guides and AI answers. For the current version, that's only true for the people above: Cochrane opened RevMan Web (the online version, which its own pages now mostly just call RevMan) to non-Cochrane reviewers in January 2023 as a paid service (Cochrane news, 2023).

Here's what each option costs, from the official pages as we checked them on 25 October 2026:

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How much does RevMan Web cost for students and non-Cochrane reviews?

A student pays £80 a year for RevMan Web, plus VAT in the UK and EU; academics pay £100, the standard rate is £130, and organisation plans start at £560 for up to eight users (Cochrane, October 2026). A non-Cochrane review is any review published outside the Cochrane Library, which means nearly every student review.

Before you pay, know these four things:

• The student rate depends on your Cochrane Account
• Cochrane membership is free to earn and takes 10% off
• You pay in pounds, 12 months at a time
• GRADEpro isn't connected for non-Cochrane reviews

The student rate depends on your Cochrane Account: Update your profile to show you're a student, then log in; the discounted rates only appear once you're logged in (Cochrane).

Cochrane membership is free to earn and takes 10% off: You earn it by volunteering: 1,000 points in any 12 months gets you a year's membership. Screening on Cochrane Crowd, Cochrane's volunteer platform for sorting study records, earns 1 to 2 points per record, so roughly 500 to 1,000 records gets you there, and members are offered 10% off RevMan (Cochrane membership); check at checkout whether it combines with the student rate. The screening practice is useful anyway.

You pay in pounds, 12 months at a time: Payment is in GBP, so your bank's exchange rate and card fees apply. If you cancel within 14 days without having opened RevMan, you get a refund (subscription terms).

GRADEpro isn't connected for non-Cochrane reviews: GRADEpro, the tool for rating the certainty of evidence and building "Summary of findings" tables, isn't linked to RevMan for non-Cochrane reviews, so you'd use it separately (RevMan Knowledge Base).

Can students in India get RevMan free through Research4Life?

No. India isn't on either of Research4Life's country lists, because Research4Life excludes any country with a total gross national income (GNI, roughly the total income of a country's residents) above US$1 trillion "regardless of other factors", and India's was about US$4 trillion in 2025 (Research4Life criteria; World Bank). So the Research4Life route that some blogs and AI answers suggest doesn't apply to students living in India (as of October 2026).

Research4Life has two groups: Group A gets free access to its content and Group B gets low-cost access (Research4Life eligibility). Cochrane offers free RevMan to "Research4Life countries" and links to both lists; if you live in a Group B country, check what you're offered when you log in. Some examples, as we checked them on 25 October 2026:

• Group A: Bangladesh, Kenya, Kyrgyzstan, Nepal, Tajikistan and Ukraine, among others.
• Group B: Armenia, Egypt, Georgia, Nigeria, Pakistan, Sri Lanka and Uzbekistan, among others.
• On neither list: India, China, Russia, Kazakhstan, the Philippines, the Gulf (GCC) states, the UK, the US and Australia.

There's a twist for Indian students studying abroad. If you're doing your MBBS in Nepal, Bangladesh, Kyrgyzstan, Georgia or Uzbekistan, you live in a Research4Life country, so put the country you actually live in on your Cochrane Account and check. The lists change (a few countries move on 1 January 2027), so check again before you renew.

If you live in India, these are your realistic options:

• Ask your college library: it may already have an organisational subscription, or be willing to sponsor student access.
• Pay the student rate: £80 for one year planned around your analysis, as in the example above.
• Join a Cochrane review team: RevMan is free while you work on the Cochrane review itself.
• Use R: it's free and runs every analysis a first meta-analysis needs.

Can you still download RevMan 5.4, and should you?

Not from Cochrane, as far as we could find, and you shouldn't start a new review in it anyway. Cochrane's style manual says RevMan 5 "is no longer supported by Cochrane", and its last version, 5.4, dates from 2020 (Cochrane Style Manual). The Cochrane Training page that used to offer the download now redirects to Cochrane's general learning page (checked 25 October 2026).

Here's why we'd leave RevMan 5 alone:

• Nobody fixes it any more
• It misses the newer random-effects options
• Unofficial installers are a risk

Nobody fixes it any more: The web version gets regular releases instead; version 11.12.0 came out on 15 October 2026 (RevMan release notes).

It misses the newer random-effects options: A random-effects model assumes the true effect differs a little from study to study. Until 2024, RevMan fitted it only with the DerSimonian and Laird method. The current version adds REML (restricted maximum likelihood, a more reliable estimate of how much true effects vary), the HKSJ (Hartung-Knapp-Sidik-Jonkman) adjustment for more accurate confidence intervals, and prediction intervals, which show where a new study's effect would probably fall (Cochrane Handbook, chapter 10). All of these arrived after RevMan 5's last release (release notes).

Unofficial installers are a risk: "Free download" sites aren't Cochrane, and you can't tell what's bundled with the file.

Already have work in RevMan 5? You don't have to start again: the current RevMan can create a new review from a .rm5 file, and its Help menu converts .rm5 files into data packages (Managing your reviews; Convert a RevMan 5 file).

RevMan or R: which should you learn first?

Learn RevMan first if you can get it free or cheaply and your review compares two groups in the standard Cochrane way. Learn R first if RevMan would cost money you'd rather keep, or your data need something RevMan can't do. Most people who keep doing reviews end up using both.

The honest trade-off comes down to three points:

• RevMan is the gentlest start
• R is free and goes much further
• R takes longer to get going

RevMan is the gentlest start: You fill in tables and RevMan draws the forest plot, the standard chart of each study's result and the pooled estimate. It's Cochrane's own tool, the Cochrane Handbook points to RevMan's documentation for the formulas behind its methods (chapter 10), and it nudges you to define your analyses before you extract data (Cochrane). It also builds PRISMA flow diagrams and risk-of-bias tables.

R is free and goes much further: R is a free programming language for statistics (R Project), and two packages do most of the work: meta (CRAN, version 8.5-0) and metafor (Viechtbauer, 2010). Your analysis lives in a script, so when a peer reviewer asks you to add a study, you rerun it in seconds, and anyone can check what you did.

R takes longer to get going: Expect your first week to feel slow; as we like to say, fast is slow, slow is smooth, and smooth is fast. Start with the free book Doing Meta-Analysis in R (Harrer and colleagues, 2021) and the tutorial by Balduzzi, Rücker and Schwarzer (2019), which runs a full analysis in meta.

If you're still unsure, find your situation here:

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Tau Square Academy (ours) teaches both: the standard analysis in RevMan and in R, then advanced upgrades in R for Bayesian meta-analysis, network meta-analysis, structural equation modelling and hierarchical models. The details are on our pricing page.

What can R do that RevMan can't?

R can run network meta-analysis, meta-regression, Bayesian meta-analysis and tests for funnel-plot asymmetry, and it can estimate means and standard deviations (SDs) from medians and interquartile ranges; RevMan does none of these, as of October 2026. Here's each, with the R package to use:

• Network meta-analysis: comparing three or more treatments at once, including pairs never tested head to head. Cochrane's knowledge base says RevMan "currently does not have the capability" (RevMan Knowledge Base). In R: netmeta.
• Meta-regression: testing whether a study characteristic, such as dose or mean age, explains why results differ. The Cochrane Handbook says it isn't implemented in RevMan (chapter 10). In R: metafor or meta.
• Funnel-plot asymmetry tests: a funnel plot charts each study's effect against its precision, and tests such as Egger's check whether small studies show bigger effects, a possible sign of publication bias. RevMan draws the plot but has none of the recommended tests (chapter 13). In R: meta or metafor.
• Bayesian meta-analysis: combining your data with prior information to get answers as probabilities, such as the chance a treatment helps. It isn't among RevMan's documented methods (statistical methods). In R: bayesmeta or brms.
• Medians and IQRs: the interquartile range (IQR) is the spread of the middle half of the values. RevMan's calculator turns standard errors and confidence intervals into SDs and combines study arms, but lists no median or IQR conversion (RevMan calculator). In R: metacont() in meta or conv.fivenum() in metafor.
• Single-group proportions: such as the prevalence of a condition. RevMan's methods compare an experimental group with a control group (statistical methods); in R, metaprop() in meta pools single proportions.

One correction while we're here: you may read, including in AI answers, that RevMan has a built-in median-to-mean converter. We couldn't find one in Cochrane's documentation in October 2026. And convert with care in any tool: the Cochrane Handbook notes that an IQR is about 1.35 SDs wide only in large samples with roughly normal data, and that with skewed data you can't estimate an SD from it (chapter 6). Run a sensitivity analysis without the converted studies.

What your first meta-analysis needs, and which tools do it

Here's the checklist we'd run through for a first two-group meta-analysis, mapped to the three tools students most often choose between:

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Sources: RevMan's methods, sensitivity and figures pages; Cochrane Handbook chapter 10; meta and metafor documentation; for JASP, Bartoš and colleagues (2025).

What about Stata, CMA, jamovi and JASP?

Stata covers most of what R does for meta-analysis, through menus or code, but you pay for it; CMA is a paid program built only for meta-analysis; jamovi and JASP are free point-and-click programs that run R packages underneath. Here's where each fits:

• Stata, if your department already uses it
• CMA, if your team already works in it
• jamovi, free but check the module
• JASP, the free point-and-click option we'd pick

Stata, if your department already uses it: Its meta suite adds what RevMan lacks, including small-study tests such as Egger's, trim-and-fill, meta-regression and multilevel models, though its official page doesn't list network meta-analysis (StataCorp). So on RevMan vs Stata: Stata does more, RevMan is simpler and built around Cochrane's way of working. Pick Stata when someone near you uses it and can check your work.

CMA, if your team already works in it: Comprehensive Meta-Analysis is a dedicated point-and-click program; its site blocked our price check on 25 October 2026, so look up the student price yourself. R and JASP between them cover every row of the checklist above for free, so we'd only buy CMA if your supervisor's team already uses it.

jamovi, free but check the module: jamovi is free and open source (jamovi) and does meta-analysis through add-on modules. The older MAJOR module, a community project built on metafor, has had maintenance problems: users were still reporting errors in January 2026 (jamovi forum). The newer MetaJam module is built on R's meta package, covers two-group and single-group analyses, subgroups, meta-regression and publication bias, and is listed as under active development (jamovi library). Name the module and its version in your methods.

JASP, the free point-and-click option we'd pick: JASP's Meta-Analysis module is a front end for metafor, with forest and funnel plots, subgroups, meta-regression and asymmetry tests, REML and the Knapp-Hartung adjustment by default, and Bayesian meta-analysis alongside (Bartoš, Wagenmakers and Viechtbauer, 2025; JASP features). It doesn't seem to convert medians, but for a nervous beginner who wants free menus, it's the one we'd point to.

And if your college already licenses SPSS, version 28 onward includes meta-analysis of continuous and binary outcomes, plus meta-regression (IBM, 2021).

What is the best free software for a first meta-analysis?

For most medical students, the best free software for a first meta-analysis is R with the meta package: it's free for everyone, handles every row of the checklist above, and the skills carry over to every later review. If you'd rather not code, JASP is the best free point-and-click option. And if you live in a Research4Life country and your review is a standard Cochrane-style comparison, RevMan may cost you nothing and is the gentlest of the three.

Whichever tool you choose, learn it in this order:

1. Decide whether to pool at all: pooling studies that are too different gives a precise-looking wrong answer, and no software will stop you. Our course teaches when to pool, before you ever run an analysis; you can start free with Phase 0.
2. Reproduce a published meta-analysis: rerun a recent review's forest plot in your tool with the effect measure, model and estimator the authors reported (older reviews mostly used DerSimonian and Laird). If your numbers match, your setup is right. It's the pottery-class lesson: you learn by making pots, not by reading about clay.
3. Then run your own: with your effect measure, model and sensitivity analyses already written into your registered protocol.

If you haven't started the review itself, our guide to doing a systematic review as a medical student covers the steps before the statistics.

Frequently asked questions