Questions tagged [meta-analysis]

Methods focused on contrasting and combining results from different studies, in the hope of increasing precision and external validity.

Filter by
Sorted by
Tagged with
1
vote
1answer
17 views

Calculating risk difference and number needed to treat from hazard ratio in meta-analysis

If you have primary data, there exist several ways to calculate a risk difference (RD) or number needed to treat (NNT) from time-to-event data (see e.g. following pmid: 29955580, 31626655). However, I ...
1
vote
0answers
15 views

Minimum Sample Size for a Two Stage IPD Meta-Analysis

I am attempting to run a IPD meta-analysis and I have 12 total studies with sample sizes ranging from 3 to 40 and was wondering is there is a minimum number to conduct a two-stage IPD, specifically as ...
1
vote
0answers
26 views

best way to combine/analyze multiple datasets that assessed a construct using different scales?

one dataset has a construct X measured with a scale that has 11 items (all rated on a 7-point scale), another one has it measured using a different 5-item scale (rated on a 5-point scale). (and there'...
1
vote
2answers
14 views

Group Heterogeneity in a Meta-Analysis - Layman's Terms

EDIT: I now believe this question was based on misguided information. See my answer. I'm looking through this meta-analysis (of studies on the effects of mindfulness on healthy individuals) for some ...
3
votes
1answer
17 views

Strange result (v small CIs) using Hartung-Knapp Correction in meta-analysis

I've come across a strange result using a Hartung-Knapp correction (in the metafor::rma() function), when I have a small number of studies, and very similar effect sizes. What I typically expect is ...
0
votes
1answer
17 views

How to use 'sortvar' while generating forest plots using meta in R? [closed]

I am running into an error if I attempt to sort forest plot output by my outcome values using sortvar. If I just enter the outcome variable name, I get ...
1
vote
0answers
20 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 ...
2
votes
1answer
16 views

Are meta-analyses only secondary analyses which require uses of the post-hoc statistical methods?

Randomized clinical trials (RCT) require pre-registration with protocols, and the primary outcome is the only credible outcome, whereas secondary outcomes and sub-group analyses are only exploratory ...
2
votes
0answers
37 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 ...
1
vote
0answers
29 views

Can you compare meta-analytic correlations?

I have performed a meta-analysis on correlations and now have meta-analytic correlations. This has resulted in 5 meta-analytic correlations $(A, B, C, D, E)$. I was wondering is there a way to compare ...
1
vote
1answer
29 views

How to compare multiple Kendall's tau results?

Looking for a bit of help on how to "aggregate" Kendall's Tau values from a meta-analysis To offer a conceptual view of the data: let's say I have 40 different "studies" that each ...
1
vote
0answers
18 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 ...
1
vote
0answers
7 views

Meta analysis and Forest Plot help

I am trying to do a meta analysis in RStudio (I have very little knowledge here). and I used a function to define m<-meta::metacor and then listed the correlations. it produced what looks to be a ...
1
vote
0answers
15 views

Might it be possible to create a meta-analysis for machine learning methods predicting something?

I am working on a study trying to create a framework for tool selection for machine learning predicting a phenomenon. It should help researchers/practitioners choose the right algorithm for their case....
1
vote
0answers
13 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 ...
1
vote
1answer
21 views

How does a small sample size (underpowered study) affect the prevalence?

I am doing a meta-analysis where I calculate an overall prevalence value for multiple studies. I have submitted my manuscript to a journal. I used sample size as one of the risk of bias criteria, ...
0
votes
0answers
15 views

Calculating Variance of the LogOR for within subjects studies for a meta-analysis [duplicate]

I would like to add to a meta analysis both studies with between and within subject design, but for the latter I don't know how to calculate the variance of the logOR. I found an answer here But what ...
1
vote
0answers
17 views

How should I interpret the results of linear and non-linear dose-response meta-analysis?

Fellow statisticians! I am currently doing a project involving dose-response meta-analysis, and I would like to ask how should I interpret my findings. I have estimated the linear dose-response effect ...
1
vote
0answers
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 ...
6
votes
0answers
128 views

When is this effect size for chi-squared appropriate?

A paper I am reviewing contains the following measure of effect size for chi-squared $r = \sqrt{\frac{\chi^2_{obs}}{df+2}}$ where $\chi^2_{obs}$ is observed chi-squared and $df$ is its associated ...
0
votes
0answers
20 views

Variability and uncertainty in estimating proportions and effect size

This is a more general question about estimating effect size with proportions. I am not an expert in statistics so maybe the question/statement is weird and trivial but I have some doubts. I study ...
2
votes
1answer
20 views

Can you perform dose-response meta-analysis with only two studies?

Currently, I am conducting a meta-analysis on the association between BMI and prognosis. I discovered that the studies used various cut-offs. However, only two studies are eligible for dose-response ...
3
votes
1answer
52 views

How to compare correlation coeffecients across studies (meta-analysis, simulation-analysis)?

I have one metric dependent variable (grain yield) and three metric traits, A, B and C. Grain yield and all three traits were measured in several studies and each time a Pearson correlation between ...
2
votes
0answers
25 views

How to combine effect size of Wilcoxon signed rank test

I am doing a Wilcoxon signed rank test on paired samples and it only reports effect size r and p-value. Since I am doing a meta-analysis and have calculated many effect sizes, I want to combine the ...
3
votes
1answer
59 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 ...
1
vote
1answer
66 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 ...
1
vote
0answers
20 views

selection of meta-analysis model

I have a dataset which includes different publications, and different studies within each publication, different variables were also collected (i.e. var1, var2, and var3) and one effect size y. var1: ...
1
vote
0answers
14 views

Meta-analysis model

I have a dataset which includes different publications, and different studies within each publication, running fixed and random effect model for the same data for all studies, both models reported the ...
1
vote
0answers
16 views

Two tests for the same question

We have two series of scores (continuous variables) obtained for two groups of students formed randomly from a population for which we ask ourselves whether an intervention (a teaching method for ...
1
vote
1answer
27 views

Calculating Effect Size from Wilcoxon W value (how to get the z value)

Im carrying out a meta-analysis where I have had to carry out my own wilcoxon test on the data. I am now calculating the independant effect sizes for each study to manually input to my excel ...
1
vote
0answers
30 views

Multi level meta-analysis model

I'm working on meta-analysis in the agricultural sciences. I have four groups a, b, c, d which are nested within each study. One paper can have multiple studies and each study may have data from ...
1
vote
0answers
51 views

Meta analysis Model

I'm working on meta-analysis in the agricultural sciences. I am looking for feedback on the rma.mv structure below for a multi-level model in metafor. The data are structured such that: each group (4 ...
1
vote
0answers
25 views

how to estimate means and SD from clustered means in a study

for conduction of a meta-analysis I am collecting data from various studies. Unfortunately, not every author provides means for all groups, instead, means are clustered. Say, I have independent ...
2
votes
1answer
29 views

Why 95% confidence interval is different for some studies in meta-analysis in “meta” package in r?

I am trying to do a meta-analysis using hazard ratio, lower and upper 95% confidence interval in meta package in R but for example Blazek study, obtained upper and lower 95%CI ([0.6023; 1.5944]) were ...
1
vote
1answer
50 views

Can linear and logistic regression coefficients be combined using an inverse variance weighted average?

Suppose I have coefficients from several studies, some are linear regressions and some are logistic regressions. They measure the same construct, but because of the nature of the experiments (i.e., ...
3
votes
1answer
66 views

How to correctly interpret rma.uni output?

I am posting this question here after being advised to do so on StackOverflow. I am trying to use the rma.uni function from the metafor package to estimate the impact of fishing gears on my abundance ...
0
votes
0answers
9 views

estimating variance estimates in regression study using CMA

I am doing a random effect meta-analysis using CMA. I have a study that uses regression to analyze the data. The article provides standardized regression weights, f squared (regression equivalent of d)...
1
vote
0answers
8 views

adjustment for cluster RCTs in meta analysis

Can anyone tell me how to account for clustering while conducting a meta-analysis? I read the Cochrane handbook but it still seems unclear to me. I included several cluster RCTs in my MA, I followed ...
1
vote
0answers
25 views

standardized mean difference including between and within subject designs

I am in the process of drafting a meta-analysis for a research project. The document makes use of a forest plot (random-effects model) that depicts the standardized mean difference of each study along ...
1
vote
0answers
22 views

Correction for sample overlap in a meta-analysis of prevalence (metafor package)

I want to conduct a meta-analysis of around 30 studies (from a systematic review). Some background of the studies: The quantity of interest is the prevalence of RSV infection. Different studies ...
0
votes
1answer
31 views

Stratified logistic regression with log link

I noticed the other day that I can mimic a stratified logistic regression using a meta-analytic approach at least when there is only one stratification variable with two different values. This is the ...
0
votes
0answers
17 views

Combining two datasets for Random Forest binary classification

I was tasked to perform a brief meta-analysis between three datasets, all with identical features, that studied different sources of neurodegeneration. As a meta-analysis these datasets were drawn ...
2
votes
1answer
34 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 ...
2
votes
1answer
24 views

Is there a way to create the forestplot in R metafor, which presents only subgroup summaries (no individual studies)?

Is there a way to create the forestplot in R metafor forest(), which presents only subgroup summaries (no individual studies)? ...
1
vote
0answers
25 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%: ...
2
votes
1answer
26 views

In a meta-analysis, can you back calculate estimated group proportions from risk difference?

In a meta-analysis of the risk difference, does it make sense to apply the weights & back calculate the expected proportions in each group? For example, if you had the following: ...
1
vote
1answer
22 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 ...
1
vote
0answers
14 views

One sample Cohen's h variance to conduct a meta-analysis

I am performing a meta-analysis where my effects are mainly one-sample test against the chance level. Let's say that we have n subjects that perform several trials with a binary response (correct, ...
1
vote
1answer
32 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, ...
1
vote
1answer
32 views

Meta analysis: Covariate adjustment?

I am doing meta analysis using "rma" (function) in the "metafor" package (in R). And this is my first time to do meta analysis. The estimate is a proportion (# of patients with ...

1
2 3 4 5
21