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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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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20 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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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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22 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
50 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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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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43 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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60 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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48 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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24 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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49 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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61 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 ...
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80 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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69 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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32 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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27 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
26 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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127 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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60 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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43 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
113 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
37 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
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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
71 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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36 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
350 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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33 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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272 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
112 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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69 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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70 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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605 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
289 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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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-...
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1answer
424 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). ...
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2answers
413 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) ...
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1answer
100 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
51 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
384 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 ...
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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 ...
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1answer
264 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 ...
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1answer
442 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<...
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1answer
154 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
156 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 (...
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2answers
713 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 ...
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1answer
297 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, ...
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1answer
62 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 ...
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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 ...