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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66 views
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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1answer
29 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-...
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23 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:
...
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1answer
26 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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63 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 ...
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44 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 ...
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1answer
30 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 ...
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0answers
51 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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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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1answer
53 views
Wha 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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1answer
322 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 ...
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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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19 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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33 views
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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32 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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1answer
47 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 $\tau^2$ ...
3
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1answer
87 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 ...
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1answer
311 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 ...
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279 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 ...
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2answers
101 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 ...
2
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1answer
27 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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0answers
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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
76 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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64 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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0answers
52 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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24 views
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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0answers
32 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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0answers
38 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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0answers
294 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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1answer
111 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
105 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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64 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
66 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
169 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
124 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
102 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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0answers
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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
231 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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195 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 ...
asked Apr 16 '20 at 12:08
user1205901 - Reinstate Monica
11.2k24 gold badges74 silver badges151 bronze badges
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1answer
131 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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0answers
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
77 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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109 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
55 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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78 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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21 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
135 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
69 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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0answers
62 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 ...
