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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49 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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0answers
38 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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0answers
19 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
48 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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0answers
38 views
Regularization techniques (ridge, lasso or elastic-net regression) for meta-analysis
I was perusing the StatQuest YouTube channel, and serendipitously listened to a series of videos on regularization techniques (ridge, lasso or elastic-net regression).
It came to my mind that such ...
4
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1answer
71 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
51 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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0answers
29 views
Robust meta-analysis with robumeta package in R
I used the samples' mean ages as a moderating variable for a meta-analysis on the relationship between two variables. I used the robumeta package and I found the mean age in 20 of the 21 studies (the ...
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0answers
23 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
22 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
104 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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0answers
56 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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0answers
36 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
85 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 ...
2
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1answer
31 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 ...
3
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1answer
29 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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0answers
96 views
Simulating by hand the predictions of a complex mixed model with beta distribution from glmmTMB for diagnostic
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 ...
2
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1answer
61 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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0answers
34 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
274 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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0answers
31 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 ...
2
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0answers
248 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 ...
1
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1answer
67 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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0answers
64 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 ...
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0answers
62 views
Why am I getting different means when conducting multilevel meta-analysis with factorial moderator vs. as subgroups?
I already asked about this in stackoverflow but maybe it fits better here.
I want to conduct a multilevel meta-analysis using metafor in R. I have effect sizes ("esid") nested within samples ("...
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0answers
476 views
Meta-analysis of proportions - how to analyze possible moderators and publication bias?
I am performing a meta-analysis study of proportions in Stata using the metaprop command. My data includes 10 studies for which I have the variables: ...
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1answer
252 views
Do I need to know correlations between dependent effect sizes for multilevel meta-analysis?
I am meta-analyzing with multiple effect sizes from each study.
The studies included in my meta-analysis measured the effects of participants REPEATDLY with MULTIPLE TESTS. I am trying to deal with ...
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1answer
27 views
Averaging ES from the same study in a MA
I'm completing a meta-analysis looking for an effect size for rates of forgetting for people with epilepsy vs controls.
I've already decided to separately extract effect size for the verbal and non ...
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0answers
21 views
How would I conduct a relative risk meta-analysis, when the exposure levels in the data are presented in overlapping ranges?
For example, if I have studies observing the dose-response relationship between alcohol (g/day) and breast cancer, and the exposures are reported as heterogeneous and overlapping ranges (10-20g, 15-...
2
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1answer
358 views
Easy post-hoc tests when meta-analyzing with the `metafor` package in r
I am conducting meta-analysis using metafor in R.
I would like to compare among 7 levels in a factor (i.e. different types of treatments).
...
4
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2answers
342 views
Step-wise Bayesian updating as a prior selection strategy
There is a famous principle in Bayesian that says: 'Yesterday’s posterior is today’s prior'. Lindley (2000).
Now, suppose there are three studies conducted chronologically. Based on Lindley's (2000) ...
2
votes
1answer
94 views
Is my full model with all significant estimates really the most parsimonious model?
I am performing a model selection based on BIC (Bayesian information criterion). I start with the following model fitted with rma.mv() in the 'metafor' package:
...
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1answer
50 views
Is it possible to do multiple regression on participants' level variables across studies using meta-analysis aggregated data? [closed]
I am wondering is it possible (or appropriate) to perform multiple regression using participants level variables across studies using meta-analysis data?
I know that usually, meta-regression is ...
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1answer
303 views
Meta-regression using rma from metafor, using DL random effects, with same effect for studies with same id
I would like to run a meta-regression on my dataset using DerSimonian-Laird (DL) random-effects model. For some studies in my dataset, I have more than one datapoint. Therefore, I would like to ...
2
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1answer
1k views
Interpreting meta-regression outputs from metafor package
I have been using the metafor package for some meta-analyses and would like to adjust for a single continuous covariate (mean age) using meta-regression. However, I require some clarification ...
3
votes
1answer
222 views
Logit transformation for a meta-analysis
I am in the final stages of a meta-regression on disease prevalence data and potentially associated covariates. I've entered the data as raw proportions and am using the logit transformed event rate ...
2
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1answer
393 views
Interpreting and plot interactions between continuous variables in rma.mv ('metafor') outputs
I was looking for ecologically-meaningful interactions in mixed-effects models of my meta-analysis when something nice (or at least I think!) came out.
My meta-analysis looks at plant diversity (i.e<...
2
votes
1answer
147 views
Underlying computing methods for meta-regression in the metafor package and the meta package
I was conducting a meta-analysis of single proportions(i.e. without a control group) and was trying to perform a meta-regression on a moderator in my data set (lable:modb) using two different R ...
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1answer
144 views
Backward model selection in metanalysis using 'glmulti' and/or 'metafor'
I want to test with a full model testing significant interactions with the main predictor 'Nadd' for my log transformed response ratio (...
3
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2answers
650 views
Meta-regression of a single-arm study with proportion outcome in R
I'm trying to understand how to perform meta-regression treating each
arm of studies in my data as an individual study with a single
proportion as the outcome. I have read through the ...
3
votes
1answer
256 views
Testing for interaction between subgroups across multiple trials - meta-analytical test for interactions
I've got 3 trials, A, B, C.
These test drug X vs placebo, giving an HR for benefit of survival vs. placebo.
There is a dichotomous subgroup analysis, for clarity let's say patients > 50 years old, ...
1
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1answer
61 views
Is it possible meta-analyse results with no reported correlation between exposure and outcome?
I am attempting to pool results about the relationship between change in body composition and change in metabolic markers (e.g. cholesterol, triglycerides etc.) from a variety of studies. Most of ...
2
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0answers
53 views
How to interpret a meta-analytic Confidence Interval through the lens of Frequentism [duplicate]
In a single study, a researcher can obtain a relevant summary statistic, and construct an $x$% confidence interval for that summary statistic.
Under the frequentist framework, this obtained ...
2
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1answer
577 views
Metafor package: Interpreting meta-regression model
I am conducting a reliability generalization for Perceived Stress Scale. This instrument has 3 version: PSS 4, PSS 10, and PSS 14. Descriptive statistics showed PSS 4 (alpha = .74, 95% CI = .70-.76) ...
3
votes
1answer
126 views
How can I model the relationship between two moderators in meta-regression?
I am currently running a three-level meta-analysis, due to the fact that I have multiple dependent effect sizes in many studies. I do not know the actual dependencies between effect sizes, however, so ...
3
votes
1answer
378 views
Meta-regression using restricted cubic splines (with rma() from the metafor package and rcs())
I would like to compile data from several published studies. I am trying to conduct a meta-regression using restricted cubic splines to analyse and plot the association between two variables (x and y),...
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0answers
77 views
Tests for publication bias using sample size in the absence of variance estimates
Background
A colleague of mine is conducting a meta-analysis for which he has available the “raw” mean differences for each study along with the sample sizes. The differences are between-subjects ...
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1answer
111 views
Using moderator in metafor Binomial-Normal model that varies within study
I had some data where I had previously examined the proportion with recurrent hepatocellular carcinoma (HCC) using the BN model as such
...
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0answers
429 views
When do I want a random intercept model and when a random slope model?
I am performing a meta-regression of nine studies that look at cancer risk vs level of substance in the drinking water. Each study has a reference strata and one to five higher strata. The studies ...
2
votes
2answers
342 views
Variance Inflation Factor for Meta-Analyses
I've conducted a Meta-Regression Analysis for my Masters Thesis. However, my supervisor told me that I should check if the proposed moderating variables highly correlate.
So I thought, that I can ...
