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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What are the QE and QM testing in a meta-analysis, and how do they relate to each other?

I am working on a meta-regression model with a moderator variable (a factor), and so am using the QE and QM tests to explore the importance of the the moderator. I understand the QE tests for residual ...
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2answers
30 views

Interpreting meta-regression outputs generated using metafor package

I have been using metafor package to conduct my meta-analysis. I'm quite naive with R software and hence having some difficulty in interpreting the output file generated for meta-regression. I have ...
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1answer
21 views

How to interpret multivariable meta-regression with none predictor significant?

How do I interpret a multivariable meta-regression model with significant test for moderators (p<0.05), but without any of the moderators included being significant on its own? This is frequently ...
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multiple outcomes - how to deal with dependency in meta-analysis

I have been studying the paper - Handling Complex Meta-analytic Data Structures Using Robust Variance Estimates: a Tutorial in R. I would like to ask if there is a problem in dividing a dependent ...
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1answer
34 views

Meta Analysis - Find the pooled Odds Ratio, given each subjects OR, Lower and Upper Limit and Z-test values

I have a problem I have been working on but can't seem to understand how to go about solving, and any help would be most appreciated. My Problem: I have been asked to find the pooled OR and it's 95% ...
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1answer
18 views

test the best intervention dosage meta-

I am conducting a meta-analysis that examines the effectiveness of a child abuse intervention. I have conducted meta-regression to examine how many sessions (intervention dosage) lead to the maximum ...
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40 views

Metaregression - Unexpected high I-squared_res with fair adjusted R-sqare

I was performing a metaregression in STATA, on about 45 studies. Please note that the original meta-analysis has a very high heterogeneity (I-squared: 100%) When I fit my model with covariates, I ...
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41 views

Interpretability of meta-regression of proportions with multilevel covariates

I'm interested in the possibility of a particular meta-analysis, but I have some reservations regarding its feasibility and would like clarity before investing the time in the analysis. Context: My ...
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Can I use logistic regressions and least squares coefficients in a meta-analysis?

I am trying to write a Economics meta-analysis. The papers that I have collected so far contain a 50/50 split between OLS models and Logistic regressions (coefficients reported as odds ratios). If we ...
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16 views

How to conduct meta-regression with a continuous variable measured on different scales across studies?

I am conducting a meta-analysis on the efficacy of a specific type of psychotherapy for children and plan to use meta-regression to identify moderators. The predictor I am interested in is parent ...
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32 views

Can meta-regression for multilevel data structures be used to evaluate resistance training programs?

Consider this meta study: Strength and hypertrophy adaptions between low vs high-load resistance training. The authors use "robust variance meta-regression for multilevel data structures" to ...
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1answer
87 views

How to pool regression coefficients

I have a question in the area of meta research. I have a dataset that consists of regression data of several economics papers. More explicitly, I have the values of the regression coefficients, the ...
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76 views

How do I interpret results of a mixed effect linear regression with 7 independent variables accounting for variability of one dependent variable?

I have 7 moderators while fitting the mixed effect model using the metafor package, my results show many interactions and I am a bit confused on how to present ...
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1answer
47 views

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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32 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
32 views

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
77 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
54 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
31 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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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
120 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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170 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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184 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), $\chi^2$, $t-$, or $F-$ tests reported in psychology journals. These tests have been drawn randomly from a larger dataset with about ...
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1answer
75 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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26 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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30 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
53 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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72 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
34 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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63 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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15 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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1answer
68 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
45 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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56 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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57 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
59 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
107 views
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1answer
54 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
77 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
386 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
61 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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45 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
54 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
170 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
96 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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87 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
33 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
385 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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88 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 ...