Questions tagged [meta-regression]
A meta-analytic tool that examines the impact of moderator variables on studies' effect size. It is another name for mixed effects model in meta-analysis (moderators are fixed effects, studies are random effects).
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Unusual problem with metafor:rma output
I have a rather unusual problem with the output of my metaregression using metafor:rma.
When I attempt to calculate the confidence intervals for the tau, i, and H values, all of the estimates are ...
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19 views
Vastly different I-squared scores between metagen and metareg outputs
I've calculated a meta-analysis using the package Meta in r. The results of my analysis indicated an I-squared value of 82%:
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1answer
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How do I standardize regression coefficients for use in a meta-regression?
I am trying to run a meta-regression, in R, using regression coefficients from multiple studies. The models from these studies tend to differ (Logistic/OLS/Weighted Least squares/2SLS). Is there a ...
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1answer
19 views
Meta analysis: rma vs. metaprop (funnel plot-related)
I have a problem, which is beyond my ability to solve.
So, I am trying to use two different meta analysis functions (in R): rma and metaprop.
In case of rma,
...
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1answer
33 views
Including a study with an opposite outcome direction in meta-analysis
I have a study whose outcome measure runs opposite to that in the rest of the studies in my study pool (with this one: the lower the outcome the better, with others:...
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1answer
14 views
Diagnostic Meta-Regression with mada in R
I am trying to figure out how to perform a meta-analysis of diagnostic test accuracy studies and I have a doubt that is driving me crazy. I am using the package mada written in R and following the ...
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13 views
How can I do meta-regression with an explanatory variable and grouping data according to a categorical variable?
I have been doing meta-regression in r for effect size with explanatory variable as distance but I want it to do it in different habitats which is a categorical variable. My data looks something like ...
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9 views
Metareg output: is Beta effect size or mean difference?
I conducted a metaregression using metareg on a number of studies with a continuous outcomes measure which was temperature. I created forrest plots where the outcomes metric was mean difference. I ...
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1answer
67 views
Interpreting multilevel meta analysis coefficients and modelling the sigmoidal association
I am doing meta-analysis using the metafor package and I have the following data structure(used this example from Wolfgang's answer):
I have only one observation within each group. I have used the ...
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35 views
How is the QM statistic calculated in a meta-regression model?
I'm performing multilevel meta-analyses in R using the metafor package. I have 158 rows, with data from 58 studies and 23 species (so I have multiple rows per study and species in most cases). My ...
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146 views
What’s the right multilevel model to address this meta-analysis?
I have a sample of about 4,000 $r$ (that is, Pearson correlation), $t-$, or $F-$ tests reported in psychology journals. These tests have been drawn randomly from a larger dataset with about 500,000 ...
asked Apr 16 at 12:08
user1205901 - Reinstate Monica
9,68317 gold badges67 silver badges130 bronze badges
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1answer
44 views
Strange looking funnel plot after computing cluster robust standard errors
I fitted the following hierarchical mixed-effects meta-analytic model using rma.mv() in the metafor R package.
mod<-rma.mv(yi=yi, V=vi, mods=~ region + subtype, random = ~ 1 |study/id, data = es, ...
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22 views
Is there an ex-post effect size to compare across binary response models?
Specifically, I am facing difficulties to define a dependent variable (comparable effect size) for a meta-regression, because most source-studies apply probit- or logit models. Of course, data ...
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24 views
Best meta-analytic approach with Mean, SD, Sample size for regional values of MRI measure
I'm interested in evaluting the evidence in the literature I've collected for spatial/anatomical variation in an MRI measure. The data consists of mean values, standard deviations and sample sizes, ...
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1answer
34 views
Fisher's method for combining p-values
I'm using the sumlog function in the metap package of R, and have a few questions about the nuts-and-bolts of this function:
1)Some of my p-values are reported as '<0.001'. How do I include these?...
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32 views
How to interpret meta-regression results with significant moderators but no significant overall effect?
I'm conducting a meta-analysis where I have a given set of studies, each with multiple effects (correlations in my case) I'm interested in. Each correlation coefficient answers a different research ...
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1answer
26 views
How does pooling affect variance?
Suppose you are looking at the prevalence of a certain disease and you can detect this disease in fecal samples. How does having a bunch of pooled fecal samples (i.e., taking a fecal sample from 5 ...
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53 views
What is the formula for combining Hedges' g across studies?
If I have Hedges g for a bunch of different studies, what is the formula for combining them?
EDIT with more detail. This is part of a meta-analysis. Each study was small, with N usually equal 6 or 8 ...
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9 views
Moderator variable in meta-regression analysis and treatment effect heterogeneity
Meta-regression may reveal that variable A explains heterogeneity in pooled treatment effect of X.
In a clinical trial I can investigate whether there is interaction between treatment allocation and ...
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49 views
Pseudoreplication in studies used in meta-analysis (problem with sample size)
We are conducting a meta-analysis, but we have problems with pseudoreplication within our primary studies. Most of the studies use correlation analysis (but we also have linear regression and GLMM) ...
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27 views
Tau2 in random-effect multiple meta-regression
I'm doing random effect multiple meta-regression with two predictors and using method of moments to estimate between-studies variance (tau2). Tau2 formula for one predictor case is:
with F being:
Q -...
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1answer
37 views
Adding a covariate to a meta-regression with low sample size
In an meta-regression I am working on an interesting question has come up.
I am are running a meta-regression with 32 study sites. I have four theoretically motivated covariates I want to examine. ...
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1answer
37 views
Meta Regression- Average AGe
I want to conduct a meta-regression, using the variable.
The studies in my meta-analysis include studies, that compore two indipendent groups.
My question: to calculate average age of a study - is it ...
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51 views
Formulas for multivariate meta-regression
everyone!
I'm digging in meta-regression and doing hand calculations using WLS to get better understanding of the topic. I'm fine with calculations for univariative model (that is, 1 covariate is ...
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44 views
Can multilevel meta analysis be random-effects model and/or fixed effects model?
I am learning multilevel meta-analysis (or, three-level meta-analysis e.g., https://bookdown.org/MathiasHarrer/...
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1answer
55 views
model test p-value>0.05 but intrcpt <0.05 [closed]
Mixed-Effects Model (k = 21; tau^2 estimator: SJ)
tau^2 (estimated amount of residual heterogeneity): 0.2301 (SE = 0.0752)
tau (square root of estimated tau^2 value): 0.4797
I^2 (...
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1answer
48 views
Help with meta-regression
I want to implement a meta-regression and require some assistance. Suppose that two univariate features ($X$ and $Y$) were measured from two samples $A$ and $B$ of size $N_A$ and $N_B$, respectively. ...
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1answer
54 views
interpreting meta regression results in R
I performed meta-regression in R and got the following results:
Mixed-Effects Model (k = 21; tau^2 estimator: ML)
...
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2answers
209 views
Is it possible to meta-analyze means on different scales?
I have study-level means/SDs reflecting depression symptom severity from multiple single-group studies. I do not have access to participant-level data. The studies all use different measures, and I ...
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58 views
meta-regression using metafor
How should I syntax the rma function from metafor package in order to get results in the following example?
My objective is to compare values (means) among species. I have different papers ...
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30 views
Meta-analyzing means/SDs from repeated-measures studies
I'm working on a meta analysis of prospective studies assessing changes to mental health in the year following an event. For the purposes of example, say it's the severity of depressive symptoms (...
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1answer
53 views
Meta-analyzing rates of change in one variable observed in one group over time
I'm working on a meta analysis of prospective studies assessing changes to mental health in the year following an event. For the purposes of example, say it's the prevalence of major depressive ...
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1answer
117 views
Use of nested random terms in meta-analysis with a moderator
I am conducting a meta-analysis and I am struggling with the random structure when there is a continuous moderator and a nested random term. Starting with a simple example:
...
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1answer
81 views
Heterogeneity test in meta-analysis
In a random effect meta-analysis model with one categorical independent variable $\theta_{ij}=\theta_i+s_j+\epsilon_j$, where $\theta_{ij}$ is the observed effect size in category $i$ in study $j$, $\...
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55 views
Different estimates in multilevel meta-analysis for categorial moderator vs. subgroup analysis
I am conducting a three-level meta-analysis using metaSEM in R. I want to find out the mean effect size for four subgroups of my dataset and later I also want to use these groups as a moderator.
My ...
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1answer
31 views
How to differentiate through the optimization process in Model-Agnostic Meta-Learning?
I'm reading the paper introducing Model-Agnostic Meta-Learning (MAML).
As far as I understood, there is a nested optimization process in MAML. Given a task $\tau_i$ sampled from distribution $p(\tau)...
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1answer
234 views
Calculate sample variances from linear regression model for meta analysis?
I want to perform a meta analysis in two levels using linear regression in R (with lm() ).
I understand that in the second level I should perform a weighted ...
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63 views
How to meta-analyze three effect sizes of correlations?
I am searching statistical approaches to analyze three effect sizes of correlations. I would like to see the relationships among one independent variable (performance on a certain type of cognitive ...
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66 views
How can I perform bivariate random-effects meta-regression if the implied between-study covariance matrix is not positive definite?
I have described my problem here:
How can one get consistent (i.e. direct+indirect=total) effects in a Meta-Analytic SEM model with latent variables?
Unfortunately, the solution I've found to this ...
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2answers
182 views
Output of metafor for incidence rates
I need to clarify something and am hoping Wolfgang or someone else with expertise in the metafor R package could help.
I want to know what the output of the rma model (with a moderator in is for a ...
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1answer
74 views
Assessing normality assumption of effect sizes in meta-regression
I'm considering options for estimating tau-squared (the true between-study variance) in meta-regression, and I know method-of-moments (MM), unrestricted maximum likelihood (ML) and restricted maximum ...
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1answer
30 views
If someone wanted to do a meta analysis would they be able to use a publication that does not have p-values listed in the publication?
If someone wanted to do a meta analysis would they be able to use a publication that does not have p-values listed in the publication?
Does a meta analysis really need a publication to have a p-value?...
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1answer
89 views
Test whether effect size in meta-analysis is significant when controlling for moderator
I am using the metafor package to conduct a meta-analysis. I’d like to test whether the overall effect size is significantly different from zero when controlling ...
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54 views
Comparing predictions from multilevel meta-regression model
I'm using the metafor package in R to perform a multi-level meta-regression. I did not supply a variance-covariance matrix to the ...
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1answer
599 views
Moderator Analysis in meta-analysis in metafor package - conceptual questions [closed]
I am a beginner in statistics and currently have to conduct a meta-analysis in my lab. I am facing some difficulties to understand the meta-regression.
I read this webpage and tried to follow along:
...
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43 views
Is there a test error metric that takes into account variance of the data?
In standard machine learning applications, models are often evaluated based on metrics like RMSE or Deviance. I was wondering if there is a similar metric tailored towards meta-analyses that takes ...
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371 views
Diagnostic residuals for Beta GLMM weighted by sample size (Meta-analysis) using glmmTMB
I am conducting a GLMM for a meta-analysis using the beta distribution with the package glmmTMB. My response variable is a vector of correlations (No exact 0 or 1), but Fisher’s transformation fails ...
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1answer
206 views
Multiple categorical IVs in meta-regression
I'm running a meta-regression and am inputting at different study characteristics as IV's. The problem is some are continuous and some are categorical.
The IV's are:
Age
Gender (2 values, dummy coded)
...
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90 views
Effect size for meta-regression
I have conducted a hierarchical meta-regression, and the results revealed a large R2 with all predictors in the model, which is common in meta-regressions. Some of the non-significant results might be ...
