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Questions tagged [metafor]

R package for meta-analysis

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Outlier and influential analysis for multilevel meta-analysis with robust variance estimation

I am conducting a three-level meta-analysis where I have different dependency structures in my data. I model the dependency by approximating the var-cov matrix, followed by estimating a three-level ...
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I2 (I-squared) estimates for heterogeneity of independent meta-analysis versus a single meta-regression

I am wondering how the I2 estimates of independent meta-analyses per level of a categorical moderator compare to those of a single meta-regression. The question is similar to the one about how the ...
befriendabacter's user avatar
2 votes
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Heterogeneity and ICC when using metafor's rma.mv and robust variance estimation

I am conducting a meta-analysis of standardised mean differences with many sources of dependency (multiple outcomes measuring the same construct, multiple control groups, outcomes from dyads (e.g., ...
AndreasV's user avatar
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Combining multiple outcomes/measurements in meta-analysis

I am conducting a meta-analysis with 12 studies. 4 studies use multiple ways to measure the same outcome or measure the same outcome at different time points. In any case, the outcomes/measurements in ...
FZZ's user avatar
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Meta-Analysis - Correctly treat multiple conditions in within study designs

we are currently conducting a systematic review and meta-analysis and are unsure how to deal with multiple effects from one and the same study. We are running a basic hierarcical three-level model ...
user408318's user avatar
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Meta regression as mixed model: time interaction

In our meta-analysis, we have several potential moderators, both categorical (e.g. disease type, outcome type), and continuous e.g. publication year. Suppose we wish to investgate the effect of ...
user167591's user avatar
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multivariate meta-analysis - can subgroup indicator reflect several different variables and outcome types?

I have seen that in meta - analysis, a multivariate model can be used to get the same estimates as a series of separate meta analyses e.g. https://www.metafor-project.org/doku.php/tips:...
user167591's user avatar
1 vote
1 answer
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How to backtransform SMD to MD using metafor

I´m performing a prognostic effect meta-analysis of SMD in the metafor R package. Data includes means and SD for each arm (...
san festein's user avatar
2 votes
1 answer
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Rstudio metafor moderator analysis: one variable is missing in Model Results + eliminating intrcpt? [closed]

I am currently working on a meta analysis and right now I am trying to do a moderator/moderation analysis but I have come across one problem: When I try to run the function: ...
as07's user avatar
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Effect size + variance calculation single group pretest posttest - different sample size pretest-posttest

I include single group pretest-posttest study designs in my meta-analysis. I calculate the effect size as follows: difference between posttest mean and pretest mean divided by the standard deviation ...
FZZ's user avatar
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Multiple-comparison p-value adjustment in meta-analysis

Do we need to adjust $p$-values for subgroup analyses in a meta-analysis? I'm wondering if the typical subgroup analysis methods, like the ones in packages such as ...
tomas.rosa's user avatar
2 votes
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Comparing Multi-level Meta-regression to Network Meta-Analysis for Dose-response Project

I am planning a meta-analysis to examine the average change in a continuous variable over time within my area of research. To be able to meta-analyze this continuous relationship, I've typically ...
zr2015's user avatar
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3 votes
1 answer
58 views

Discrepancy in inferential tests using metafor

I am running analyses using metafor, looking at different scores between two groups. All of these are using raw mean differences (so ...
Sean C. Rife's user avatar
1 vote
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32 views

what ES should i use for a multilevel meta-analysis (metafor package) of pre-post studies with intervention and control group?

We've done a systematic review of studies that investigate the effect of physical exercise on pain and disability in workers, and we've been asked to complement it with a meta-analysis of the data. So,...
Francesco Favro's user avatar
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31 views

Polychoric Correlations to Fisher's Z Transformation

I'm interested in conducting a meta-analysis of polychoric correlation coefficients using metafor package in R. When performing a meta-analysis with Pearson ...
AlejandroDGR's user avatar
2 votes
1 answer
35 views

How to conduct meta analysis for studies that have used repeated cross section surveys to report prevalence

When conducting meta-analysis on prevalence of disease, few studies have reported prevalences using different rounds of cross-sectional surveys. When analyzing such studies shall I take each reported ...
siri's user avatar
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2 votes
1 answer
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Sample size calculation in a meta analysis in ecology

I am conducting a meta-analysis in the ecology discipline, such as on the effect of elevated CO2 on soil organic carbon. In my case, treatment and control groups have different sample sizes within the ...
ashutosh singh's user avatar
1 vote
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45 views

Best approach to assess meta-analysis heterogeneity when a study has sampling variance of zero

I am currently performing analyses for a meta-analysis looking at the mean difference of pre-post intervention data (i.e., 'mean change'). However, one study reports identical mean and SD for the pre- ...
Braden's user avatar
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2 votes
1 answer
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Can I do a Meta-Analysis for Odds Ratio's for continuous predictor (age) with Binary outcome (Affliction, yes or no) in R?

I'm looking for a way to conduct a Meta-analysis on Odds Ratio's from several studies/article's. The thing is that my OR's are based on logistic regression's with continuous predictors (outcome is ...
Benjamin Telkamp's user avatar
3 votes
1 answer
116 views

Metafor trim and fill procedure after identifying publication bias

I am using the metafor package to assess publication bias for a meta-analysis (included approx 100 and approx 900 individual effect sizes). I am facing an issue with the implementation of the trim and ...
Janina Steinert's user avatar
2 votes
1 answer
65 views

How to interpret a meta-regression output?

I've conducted meta-regression analyses using the 'metafor' package in R. I am trying to interpret the outputs if you could please help? Output 1 (categorical with 3 levels): Test of moderator is ...
Helen's user avatar
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3 votes
1 answer
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re: binary random-eff meta-analysis: Why is my heterogeneity estimate so much higher using GLMM compared to other methods? (metabin function)

I am trying to conduct a random effects meta-analysis for binary outcome data using the GLMM method in the meta package (metabin function / meta package). meta package citation: Balduzzi S, Rücker G, ...
MB_456's user avatar
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2 votes
1 answer
101 views

How can one get a non-zero failsafe-N for non-significant meta-analysis?

I have been working with the attached data. Using the (wonderful) metafor package I fit a random-effects model, which generates the following outcomes: ...
confused_meta_analyst's user avatar
1 vote
0 answers
14 views

Including study as a moderator in a meta-analytical model

I'm trying to figure out what it means to include 'study' as a moderator in a meta-analytical model. In the R package metafor, for example, we might build an intercept-only random effects model as ...
befriendabacter's user avatar
1 vote
1 answer
31 views

Meta-Regression with BDI mean difference as a predictor?

I am conducting a Meta-Analysis using metafor in R. I calculate the standardized mean difference between patient groups (PG) and ...
benjarmin1's user avatar
1 vote
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30 views

How to calculate the effect sizes for a meta-analysis if a RCT study reported the correlation coefficient using partial pearson corrleation analysis?

I am currently performing a meta-analysis focusing on investigating the changes in variable A following weight loss. To address this, I have included studies that provide pre-and post-intervention A ...
Zhuoxiu Jin's user avatar
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14 views

Metafor interactions (not showing complete output)

As part of a mini meta analysis where I want to test 2 moderators, I have used the following code: ...
Paz's user avatar
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97 views

What does a non-significant intercept mean in a meta-regression using rma.mv ? Does it indicate problems? If so how to solve them?

I am conducting a meta-analysis using the metafor package in R. More specifically I use a random effects model applying the rma.mv function. When I run my meta-regression with moderators, I always get ...
meta1000's user avatar
1 vote
1 answer
152 views

Forest plot for meta-analysis of continous outcome displaying the mean ES with and without outliers

I am conducting a meta-analysis and am trying to produce a forest plot displaying the mean weighted effect size with and without the outliers. I looked on so many websites and tried a lot of syntaxes, ...
Ishtiaq Ahmed's user avatar
2 votes
1 answer
59 views

Estimating the standard error or confidence interval of a hazard (or odds) ratio from other reported contrasts

I am performing a meta-analysis and have a dataset of hazard ratios and odds ratios collected from primary studies. Suppose for a study we have a recorded hazard ratio (HR) (or odds ratios (OR)) (both ...
user167591's user avatar
2 votes
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76 views

What should be displayed on the x-axis of a funnel plot for a meta-analysis model that does not contain any moderators? [closed]

I have performed a meta-analysis with the follwing attributes: meta_escalc <- escalc(measure = "MN", mi = mean , sdi = SD, ni = ni, data=data ) ...
SteveMcManaman's user avatar
1 vote
0 answers
793 views

Forest function error - "argument 1 matches multiple formal arguments'

I created the following random-effects model, and am hoping to -for now anyway- generate a very basic forest plot, using the forest function from metafor. This is the code I used: `res <- rma(yi=...
Jeremy's user avatar
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1 vote
0 answers
87 views

how to use metafor to calculate effect sizes for pre-post one group study

I was trying to use metafor to perform a meta-analysis to explore hormone concentration changes after the intervention. The studies being included only have one intervention group without any control ...
Zhuoxiu Jin's user avatar
1 vote
0 answers
270 views

Making sure I interpreted my rma.mv output correctly (metafor)

I'm looking at investigating whether a tag in a fish is retained within the body (or not) and the factors that are likely driving this effect as part of a metanalysis. This includes the size of the ...
mlaw's user avatar
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3 votes
1 answer
70 views

Meta-Analysis: Summarizing several effects of a study

I am currently conducting a meta-analysis looking at a rather global effect. Therefore, some of the included studies report several effects which can be included. As far as I read in the literature, ...
Maria's user avatar
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2 votes
3 answers
71 views

How to perform a meta-analysis of placebo-controlled trials with the mean ± SD of each group before and after the intervention?

I want to do a random-effects meta-analysis (on any programming language) on studies that report data in the following way (numbers were made-up for the example): "Body weight went from 89.9 ± 6....
AntelopeDolphin's user avatar
1 vote
0 answers
36 views

Network meta-analysis with three outcomes

I am conducting a meta-analysis with 3 treatments (manual therapy, dry needling and placebo) and 3 outcomes (VAS, QoL and ROM, all of them are continuous variables). With ...
Nicolas Cuenca Zaldivar's user avatar
1 vote
0 answers
48 views

Multiple Meta-Regression of Proportions

I am conducting a multiple meta-regression of proportions and was hoping that I could get some help. Outcome variable is complications rates (logit transformed) and moderators are publication year and ...
seven.sabs's user avatar
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0 answers
218 views

Meta-analysis of studies with single group having pre-test and post-test mean

I am trying to do a meta-analysis using studies with single group (in my case- patients undergoing an XYZ surgery). The outcome measures reported are pre-treat functional score(mean with SD) and Post-...
O-pod's user avatar
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1 vote
0 answers
540 views

Creating a forest plot separated by outcome from a multivariate meta-analysis using metafor

I'm struggling to create a forest plot that separates the average effects by outcome. I ran a multivariate mixed effects meta-analysis with 6 outcomes, with 49 studies (some studies have effect sizes ...
mld's user avatar
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1 vote
0 answers
159 views

Subgroup analysis results are different if I conducted each subgroup separately in metarate in R

I am doing a single arm meta-analysis of incidence rate using Poisson regression and doing subgroup analysis using meta and ...
Mohamed Rahouma's user avatar
0 votes
1 answer
67 views

Interpretation of the results of a multi-level meta-analysis with metafor

I have noticed that the topic has been already treated in other questions but I am still struggling about one specific issues. In details, ...
Francesco Latterini's user avatar
1 vote
1 answer
97 views

how to interpret robustness result

I ran a multivariate meta-analysis to account for dependencies of effect sizes using metafor and then I also applied a robustness check using the ...
madina_b's user avatar
2 votes
0 answers
62 views

Models fitting to different data but input is the same [closed]

I am currently running candidates for a meta-analysis using the rma.mv function in metafor. I have tried running models, comparing by AIC, and then averaging using the model.avg approach in the MuMIn ...
maslein's user avatar
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3 votes
1 answer
78 views

Why are confidence intervals generated by metafor (rma.mv function) wider than in Comprehensive Meta Analysis (CMA) software?

I have been asked to compare my meta-analytic results obtained from the CMA software to the results from metafor. I find that the width of my confidence intervals are larger with metafor than with CMA,...
Ashley's user avatar
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1 vote
0 answers
70 views

How to account for overlap in individual studies in meta-analysis of meta-analyses (umbrella analysis)

I want to conduct a meta-analysis of meta-analyses (aka umbrella analysis). A potential issue is that within each individual meta-analysis I want to include there is some overlap between the studies. ...
Ajj1988's user avatar
  • 51
2 votes
1 answer
75 views

Meta analysis of proportions that has control group

I have data from a couple studies. The outcome I have is ordinal/likert. For each value I have the proportion of people who had each of the values at a measured end point. For example, in a study I ...
rj44's user avatar
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1 vote
0 answers
13 views

When should I care about the hierarchical structure of a few included studies for a meta-analysis (multiple independent groups, same outcome)?

I plan to meta-analyze proportion data (i.e. compliance rates in %) from >150 studies. Most of the studies will be single-group designs, but there will also be a few eligible multiple group studies ...
pieuvre's user avatar
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1 vote
1 answer
38 views

Meta-regression with Peto's odds ratio? / best approach for rare events in control arm

I am conducting a meta-analysis with a binary outcome in which there are only 2 events in the control arm (most studies have 0) and an event rate of ~7% in the treatment arm. I have 2 questions: Can ...
Lindsay's user avatar
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3 votes
0 answers
66 views

Why are $R^2$ values not available in mixed effects meta regressions

I'm currently conducting a meta-regression for my predictors from a meta-analysis of proportion. In calculating the mixed effects meta-regressions, I wanted to identify how much heterogeneity is ...
Yakubu's user avatar
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