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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Making sure I interpreted my rma.mv output correctly (metafor)

I'm looking at investigating whether a tag in a fish is retained within the body (or not) and the factors that are likely driving this effect as part of a metanalysis. This includes the size of the ...
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Multiple Meta-Regression of Proportions

I am conducting a multiple meta-regression of proportions and was hoping that I could get some help. Outcome variable is complications rates (logit transformed) and moderators are publication year and ...
2 votes
1 answer
43 views

Should a meta-analysis of group differences calculate Hedges’ G separately for each group, or calculate Hedges' G for the group difference?

I am reading a meta-analysis where the authors state the following. (I've redacted the active drug name, as my purpose is to understand not call anyone out.) The treatment response to placebo and [...
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Appropiate name for coefficients of meta-regression

I would like to report the slope coefficient of several meta-regressions with one predictor. I am wondering what the correct term for this coefficient is. Is it simply b1 or is it β?
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Why do the confindence intervals overlap when my p-value is significant in meta-regression? [duplicate]

I fitted a mixed effects meta-regression model with one dummy-coded predictor (USA vs. Europe). The output tells me that the predictor is significant. I then wanted to get the average estimated effect ...
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Meta learning for few-shot regression problem

I am wondering if there is any article or resources that I can understand how to instantiate (or define) the tasks for meta-learning few-shot regression problems? The original MAML does not clearly ...
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Meta regression result significance change

I have a meta-analysis study for prevalence with 18 studies. Applying meta-regression, shows 'age' is a significant IDV. But after adding one more study (listed in the first row in the screenshot ), '...
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47 views

Practical solution for mixed model test to compare variabilities (variances/dispersions)

There are various common tests to compare the variability/variance of values between two groups of outcomes (e.g., Levene's test, Bartlett's test), and these can also be used to test for equal ...
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1 answer
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What's the difference between fisher's Z and reliability&sample size adjusted r?

I am performing a meta analysis on random-effects model and I came across studies that compute r+ (sample size-adjusted correlation) and rc (reliability-adjusted correlation), and also those that ...
2 votes
1 answer
55 views

Is it possible to do meta-regression with GAMLSS?

I am about to conduct a meta-regression analysis to fit some age-related changes. Since the GAMLSS approach is highly suggested in the normal regression of such data, I want to apply GAMLSS to my ...
2 votes
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36 views

Errors-in-variables random effects meta-regression

I would like to perform an error-in-variables random effects (DerSimonian and Laird method) meta-regression, but I do not know how one goes about doing this. Does anyone have any advice on if this is ...
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2 votes
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Weighting pharmacovigilance data in a meta-regression

I would like to run a meta-regression in which the independent variable is composed of weighted reported odds ratios (ie, the number of events for a particular medication side effect divided by total ...
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When should I care about the hierarchical structure of a few included studies for a meta-analysis (multiple independent groups, same outcome)?

I plan to meta-analyze proportion data (i.e. compliance rates in %) from >150 studies. Most of the studies will be single-group designs, but there will also be a few eligible multiple group studies ...
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1 vote
1 answer
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Meta-regression with Peto's odds ratio? / best approach for rare events in control arm

I am conducting a meta-analysis with a binary outcome in which there are only 2 events in the control arm (most studies have 0) and an event rate of ~7% in the treatment arm. I have 2 questions: Can ...
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3 votes
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35 views

Why are $R^2$ values not available in mixed effects meta regressions

I'm currently conducting a meta-regression for my predictors from a meta-analysis of proportion. In calculating the mixed effects meta-regressions, I wanted to identify how much heterogeneity is ...
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1 vote
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82 views

interpretation of moderation in meta analysis

I'm conducting a meta-analysis using package metafor in r and I want to test the possible moderation effect of 3 variables. Of the 3 variables, only one gives me a significant effect on the '...
2 votes
0 answers
19 views

Arm-based meta-analysis of variation and mean with interval scale data

I’ve been extracting data for an arm-based meta-analysis on the distribution of a self-report survey in various research contexts. I am interested in the approach taken in Nagakawa et al. (2015), ...
1 vote
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42 views

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

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 ...
1 vote
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28 views

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 ...
3 votes
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72 views

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 ...
1 vote
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23 views

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)....
1 vote
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42 views

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 ...
1 vote
0 answers
26 views

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) ...
1 vote
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52 views

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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2 votes
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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 ...
1 vote
1 answer
173 views

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-...
1 vote
0 answers
28 views

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: ...
3 votes
1 answer
109 views

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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1 vote
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91 views

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 ...
1 vote
0 answers
116 views

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 ...
2 votes
1 answer
86 views

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 ...
2 votes
0 answers
71 views

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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30 views

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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4 votes
1 answer
119 views

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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6 votes
1 answer
346 views

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 ...
2 votes
0 answers
46 views

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 ...
1 vote
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21 views

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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1 vote
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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 ...
2 votes
0 answers
45 views

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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2 votes
1 answer
54 views

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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3 votes
1 answer
226 views

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 ...
3 votes
1 answer
910 views

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 ...
2 votes
0 answers
720 views

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 ...
1 vote
2 answers
198 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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2 votes
1 answer
41 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 ...
1 vote
0 answers
32 views

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
169 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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1 vote
1 answer
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 ...
1 vote
0 answers
104 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 ...