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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How to find the optimal coefficients of the two predict_proba output matrices of two different classifiers using regression and maximizing accuracy?

I am performing classification, where there are six labels and two predict_proba (predicted probabilities) matrices as outputs. These two predict_proba matrices correspond to the outputs of two ...
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Meta-regression for continuous data - effect size or otherwise?

I'm trying to parse the output of multiple studies to quantify how age impacts the prevalence of HPV in Europe. Thanks to an excellent suggestion in a previous question, it has been suggested that ...
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How to compare ANOVA results from multiple data sets

I am trying to find out if there is an age-education category difference between people in the number of votes which they use while voting with a multiple vote voting method. Basically, I am trying to ...
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Why are GLMMs distinct from GLMs for Meta-analysis of study level data?

Would anyone be able to explain conceptually why GLMMs with a random intercept at the study level are occasionally used for meta-analysis of proportions / counts, when the observations are already at ...
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Meta regresssion with Standardized Mean Difference

I am doing a meta-analysis of studies comparing A and B. As some studies used different scales (measurement techniques), we have decided to pool all studies and used standardized mean difference (SMD)....
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Should I expect lower R2 with meta-regression in meta-analyses with low heterogeneity?

The question in short: Should I expect lower R2 values in meta-regression performed in a meta-analysis with low levels of heterogeneity? In meta-analysis, I2 represents a ratio of between-study ...
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How can I validate my curve fitting meta-regression?

I'm doing a meta-regression analysis on Normal Pressure Hydrocephalus Gait Analysis. Studying the variation of gait velocity after a procedure (Tap-test). Keeping into account single study (#14) ...
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Considering sample size as controlling factor in meta-regression

In a meta-regression, authors have 3 explanatory variables of interest for 2 countries. But all these three variables were not present in all those studies which were finally selected for meta-...
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Predicted treatment effect for causally related conditions

Let's say there are two medical conditions $A$ and $B$ that are causally-related, i.e. that they share a common etiological process $C$. For example, $A$ and $B$ could be related autoimmune conditions ...
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How to back-transform regression coefficients in a multi-level meta-regression in metafor

My question is an extension of this one, where I asked about back-transforming the results of a reliability generalization meta-analysis. I have run a three-level meta-regression, using the Bonett-...
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A reasonable choice of effect size for a meta-analysis

I'm doing a meta-analysis where the studies ask the study participants to read, find, and correct the wrong words in a text. Some studies score each study participant's performance on the text using: ...
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3 votes
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comparing effect sizes (partial correlations) for multiple outcomes in a meta-analysis

I'm conducting a meta-analysis using the metafor package. I'm using partial correlations and I'm interested in two effects - correlations between X and Y1 and X and Y2 (both controlling for Z). I have ...
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Specifying a complex random-effects structure in metafor

I am working on a project in which I am using metafor to carry out a single-paper meta-analysis. My project contains data from 5 different studies; each study ...
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Combining moderator variables in meta-regression

I have a meta-analysis type dataset of compiled information from primary studies; including hazard ratio's and confidence intervals together with predictors (i.e. "moderators" in the context ...
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2 votes
1 answer
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How to test for contrasts and interpret multiple meta-regression in metafor

Lets say I was meta-analysing studies which have assessed the influence of a warm- up on running performance (completely hypothetical). Lets also say that I wanted to find out whether pre-exercise ...
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Meta-regression analysis of the correlation between dependent variables

I have a set of studies which report a biomarker and an incidence of an outcome at baseline and at end of follow-up. I would like to get a measure of how much the change in the biomarker(chg_bm) ...
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Could a nomogram be built from meta-regression coefficients?

I'm trying to build a nomogram from meta-regression co-efficients. The meta-regression model is done using the metafor package. However, I would like to represent the results into a nomogram. The RMS ...
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Why are $R^2$ values not available in fixed effects meta regressions

I'm currently conducting a meta-regression for my moderators from a meta-analysis my team recently conducted. In calculating the fixed effects meta-regressions, my objective is to identify how much ...
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What is the best way to regress proportions (as both dependent and independent variables)?

I am currently conducting a meta-analysis and have pooled the prevalence of a certain disease. I would like to check for any association of risk factors, such as gender, ethnicity, and disease ...
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Can I use logit transformed proportion as a independent variable for meta regression, while my dependent variable is also logit transformed?

I am now conducting a meta-analysis for depression in a certain disease. The prevalence of depression is available for the studies (n=21), and I would like to conduct meta regression with the ...
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How to fit Frequentist meta-analysis for regression between endpoints?

General Information I have $j = 1, \dots J$ studies which report two measurements, $x_{obs, j}$ and $y_{obs, j}$, and their standard errors, $\sigma_x$ and $\sigma_y$. Both measurements are assumed to ...
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Metafor Package: How to conduct Meta Regression with reliability generalization

How to conduct meta regression in "metafor" after I got I2 heterogenity 94%. My study reliability generalization alpha Cronbach, with continuous and categorical moderator variable. Thanks ...
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Can a grouping variable also be a predictor or vice versa

I sometimes see that a grouping variable such as study ($1,2,...15$) is used as a grouping variable to the right of the |: ...
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If the variance of residuals is known, then can we add an extra random effect?

In random-effects meta-regression, we often model an estimate of effect size ($effectSize_i$) as: $$effectSize_i=\mu+u_i+e_i$$ where $u_i \sim N(0, \tau^2)$, and $e_i \sim N(0, v_i)$, where $\tau^2$ ...
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How to interpret a meta-regression with a moderator which can vary between fixed values in Metafor

This question is slightly related to another one (Metaregression on meta-analysis of proportion with metaprop and metafor), but concerns the particular situation in which one moderator is a variable ...
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1 answer
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Metaregression on meta-analysis of proportion with metaprop and metafor

[EDITED for more clarity] I performed a meta-analysis of single proportion with logit transformation, which I made using the metaprop function, with a random ...
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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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2 answers
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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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2 votes
1 answer
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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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1 vote
1 answer
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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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1 answer
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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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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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3 votes
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60 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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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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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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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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1 vote
1 answer
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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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2 votes
1 answer
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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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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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1 vote
1 answer
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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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1 vote
1 answer
207 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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2 votes
1 answer
160 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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1 vote
1 answer
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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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2 votes
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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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2 votes
1 answer
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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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4 votes
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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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1 vote
1 answer
159 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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1 vote
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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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