When to do a multiple treatment meta-analysis?

When to do a multiple treatment meta-analysis?

If each study compares exactly two interventions, then multiple-treatments meta-analysis can be performed using subgroup analyses, and the test for subgroup differences used as described in Chapter 9 (Section 9.6.3.1).

When to use a multivariate meta-analysis method?

However, it is preferable to use a random-effects model to allow for heterogeneity within each subgroup, and this can be achieved by using meta-regression instead (see Chapter 9, Section 9.6.4 ). When some studies include more than two intervention groups, the synthesis requires multivariate meta-analysis methods.

Can you do a meta analysis in JASP?

To conduct a meta-analysis in JASP, be sure to check our their guide. However, at the moment the effect sizes have to be entered into the software beforehand – JASP cannot calculate this for you. But, it is on their to-do list for future releases.

Are there any free software for meta analysis?

There is a range of software and programs available to use when performing meta-analyses. Frustratingly, not all of them are free to use and some have more features than others. Below I have created a comprehensive list of freely available software, or add-ons, to use when performing meta-analyses.

How are dose-response Meta-analyses of differences in means used?

Spline models allow inclusion of studies with a small number of dose levels, and almost any shape, even non monotonic ones, can be estimated using only two parameters. We illustrated the method using dose-response data arising from five clinical trials on an antipsychotic drug, aripiprazole, and improvement in symptoms in shizoaffective patients.

How is the dose response of a study estimated?

A flexible dose-response model is estimated within each study (first stage) taking into account the covariance of the data points (mean differences, standardized mean differences). Parameters describing the study-specific curves are then combined using a multivariate random-effects model (second stage) to address heterogeneity across studies.

What happens when you combine results from multiple studies?

Different meta-analysis methods can be applied for different outcome measures when combining summary statistics from multiple studies, but each method uses a similar approach in which the estimate from each study is weighted by the precision of that estimate.

How are mortality rates combined in a meta-analysis?

We combined the information from the independent studies via meta-analyses, modelling the mortality rates as weighted averages of the estimates across the studies.