Meta-analysis refers to methods focused on contrasting and combining results from different studies, in the hope of identifying patterns among study results, sources of disagreement among those results, or other interesting relationships that may come to light in the context of multiple studies.

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Properly calculate mean and SE for meta-analysis

I want to perform a meta-analysis, for which I have data from 30 different experiments, each of them with two different treatments. I have three different types experiments based on how the data are ...
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1answer
17 views

Interpreting stripe like shapes on funnel plot from meta-analysis

I have a set of 130 measurements from about 30 different studies. I have made a random effects meta-analysis of SMD and ROM. I used the DL method. I also made funnel plots to check for publication ...
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1answer
31 views

Fitting nonlinear meta regression models to data

I have a collection of data, obtained from different studies. To plot the ratio of means against different CO2 concentrations, I used a random effects model with a continues predictor (the CO2 ...
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15 views

Bayesian random effects meta-analysis on the risk ratio with r2jags

Following the work of Warn 2002 I am trying to set up the model for a Bayesian meta-analysis on the risk ratio and the odds ratio. I am using R together with R2jags to fit a simple RE MA model. ...
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25 views

Failed to reduce deviance while using “lme4 : glmer ”

this is my first post, so I will try to make it as clear as possible. Hopefully is not something trivial and I am just stuck. I am performing meta-analysis using the glmer function of the lme4 ...
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20 views

How to compare latent mean difference from Measurement Invariance with cohen's d from a meta-analysis?

I was wondering if it is possible to compare latent mean differences estimated in a scalar invariance model to an overall Cohen's d found in a meta-analysis. Is there a way to convert one value to the ...
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14 views

How should I combine this binary scale with a 4-point scale?

I'm doing a meta-analysis and I want to combine the results of two questionnaires. One questionnaire has 30 questions about whether you've experienced certain traumatic life events. They're all ...
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1answer
22 views

Fitting curves to means and variances from multiple samples

I have data on a variable measured in multiple longitudinal samples. I do not have the individual-level data for each sample, just the sample means and variances at each time point. The samples do not ...
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12 views

If doing a meta-analysis with R, using log hazard ratios, do I supply the variance/SE or the log variance/SE? [duplicate]

As above, really! I have a load of trials for which I have the HR, the standard error of the HR, and n. I can either supply the variance with vi=(SE*sqrt(n))^2 or ...
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1answer
40 views

Meta-analysis of trials given hazard ratios

I'm trying to do a meta-analysis in R (using metafor) of trials where the outcomes are hazard ratios and I'm given the 95% CI for them and/or the standard error and n. So if I have columns like: ...
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1answer
31 views

Can I get an Odds Ratio (or other effect size) from two proportions and a p-value?

I am conducting a meta analysis that is comparing dichotomous outcomes for two groups. So for each study, I have the proportion of the outcome for both groups and the sample size of each group, and I ...
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1answer
42 views

Metafor rma.mv function: missing estimates for two levels of a categorical moderator

I am conducting a meta-analysis with several categorical moderators and one continuous moderator; I am also interested in an interaction between two of the moderators (outcome and scale). I have ...
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1answer
43 views

How to convert the standard error of the log odds ratio to the odds ratio standard error

I am using the log odds ratio (and its standard error) for meta-analysis. I want to convert back to odds ratio to write up the results... maybe i'm putting in the wrong search terms but can't find ...
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9 views

User weight specification in Meta-analysis using STATA

I want to perform Meta-analysis in STATA using User define weight option "wgt()", i.e., metan coef, fixed wgt(weight-variable). However, the model is not running, stata says, " too few variables ...
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11 views

How to manually do Bayesian fixed effects meta-analysis?

Assume $Y_i \sim Normal(\mu, \sigma_i)$ for $i = 1, 2, 3, \ldots, k$ independent studies. Here I assume $\sigma_i$ is known. The prior distribution is $\mu \sim Normal(\mu_0, \sigma_0)$. What will be ...
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1answer
53 views

Method of meta-analysis of studies to determine mean blood level

Generally meta-analysis is done to determine the efficacy of some treatment as compared to controls. Is it possible to do a meta-analysis of different studies for mean blood level of a chemical, its ...
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21 views

Explanation of heterogeneity

Following is the output of meta-analysis of five fictitious studies: ...
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1answer
44 views

How to choose between fixed effects and random effect meta-analysis

In meta-analysis packages, both fixed effects and random effects models are available. How do one choose between these 2 models? Since one is assessing different studies, should one not choose random ...
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23 views

How to compare the continuous outcome of two group of studies in a meta synthesis?

While doing a meta synthesis, I would like to state if there is a difference in the compost quality (e.g. the carbon content) between studies carried out in tropical and temperate region. Within each ...
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1answer
52 views

How to combine data several studies with events?

I have a compilation of following data on 10 studies, all of which had 2 groups: a control group which received usual treatment and an active group which received an intervention. The subjects were ...
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17 views

ANOVA effect size for meta-analysis

I am currently planning to perform a meta-analysis. I have 3 studies with different sample sizes n=22,n=149,n=155 I am measuring the effect of treatment in each group using an ANOVA in R (more than ...
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1answer
38 views

Is precision-based (i.e. inverse-variance) weighting integral to meta-analysis?

Is precision-based weighting central to meta-analysis? Borenstein et al. (2009) write that for meta-analysis to be possible all that is necessary is that: Studies report a point estimate which can ...
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1answer
43 views

Metafor package: bias and sensitivity diagnostics

I am conducting a multi-level meta-analysis that includes some articles with multiple outcomes. Therefore I am using the rma.mv() function. Example code: ...
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38 views

Alternate weighting schemes for random effects meta-analysis: missing standard deviations

I am working on a random effects meta-analysis covering a number of studies which do not report standard deviations; all studies do report sample size. I do not believe it is possible to approximate ...
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34 views

Calculating the covariance of effect sizes for multiple-treatment multiple-enpoint studies

I'm interested in finding the covariance of effect sizes for multiple-treatment multiple-outcome design given the scenario below. Gleser and Olkin (2009) provided the formula for the estimating the ...
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1answer
89 views

Simulating non-normal correlated data for Bayesian regression

I'm interested in generating data for three separate datasets where each contains three IVs and a single DV that are correlated with one another based on meta-analytic data. For example, I would like ...
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1answer
49 views

What are the effects of continuity correction in binomial meta-analysis in the metafor package?

The metafor package in R can be used to fit the random effects model with the exact binomial likelihood as described in Stijnen et al. (2010). The ...
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1answer
44 views

Most appropriate way to construct overlapping dummies

What would be the most appropriate way to construct dummies with theoretical overlap? I'm doing a meta-regression of studies looking at the effect of certain interventions on X. Some studies use ...
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24 views

How do I calculate the variance of a mean difference effect size that has been converted to Fisher's z for meta-analysis?

To be able to compare different types of effect sizes, I am converting my effect sizes that are originally mean differences into correlation coefficients. I am using the following formula: d <- (t ...
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43 views

Meta-analysis in R using SE and weights based on number of years of the experiments

I have a dataset with this format, containing different experiments and mean and SE values for two treatments (amb and elev), to ...
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8 views

Variable selection algorithm based on meta study

Suppose I would like to conduct a survey and want to know which variables to include. Literature review and theoretical guidance both help. What I would like to know is whether there is a way to do a ...
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29 views

Meta-analysis statistics required

I need to know the appropriate statistic to use in a meta-analysis. I want to compare the effect size for three hypotheses - that there are significant groups differences firstly between treatment ...
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1answer
107 views

Meta-analysis in R with standard errors instead of standard deviations {metafor}

This is the formula I would need to use to perform a meta-analysis in R using the package metafor: ...
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26 views

Calculating effect sizes without SDs or sample sizes for meta-analysis

I'm coding articles for a meta-analysis looking at group differences on dichotomous and continuous outcomes. Groups are not the same size. Continuous outcome ES is standardized mean difference and ...
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1answer
103 views

Meta-analysis: is there a way of including dependent effect sizes without averaging across them

I'm running a meta-analysis with a binary outcome (succeed/fail). I am primarily interested on the effect of predictors related to the study (e.g. age of participants, type of task) on the binary ...
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48 views

Will this invalidate my meta-analysis

I am pooling scores for my meta-analysis. The outcome measure is the proportion of children that pass a task. The data reported is given in three ways: 1) When children are tested with the task ...
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1answer
42 views

How do I statistically test whether two intervention types have significantly different effects in a meta-analysis?

I have the following problem: I am researching the difference in effects (as measured by standarized mean differences (SMD)) of two intervention types. (let's call them intervention 1 and intervention ...
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1answer
43 views

What type of meta-analysis do i need here?

I'm looking for the name of a statistical technique that can perform the following analysis for me. I want to do a regression looking at the effect of the mean of age of a sample, predicting the ...
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31 views

Help with Comprehensivie Meta-Analysis: Running multiple outcomes and moderators

I need help making sure that I run the analyses correctly in Comprehensive Meta-Analysis. I am running a meta-analysis with six different outcome measures based on theoretical reasons and delineation ...
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1answer
53 views

Test for homogeneity in meta-analysis with a large number of studies

So I am conducting some literature searches on behalf of someone. I stumbled across a meta-analysis which used 23 studies. It tested the homogeneity of the studies used, using what I think is a ...
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1answer
30 views

Separate levels of an outcome measure reported, but the means and SDs do not add up to the “total items,” why?

I am working on a meta-analysis that distinguishes achievement on two levels: content acquisition (e.g. knowledge and comprehension) and skills application (e.g. problem solving, etc.). I came across ...
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22 views

Outcome Results - Mean Change & Standard Error - Missing Standard Deviation

The results of a clinical trial are given as "Mean Change", together with a "Standard Error", also the "Mean Differences" of the Intervention and Control are given, together with 95% Confidence ...
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2answers
38 views

Dealing with studies with no cases in meta-analysis

I am meta-analysising the following data by age range: ...
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1answer
38 views

Comparing rates of success in paired groups of samples

I have $2n$ paired populations, on which I measure a rate of success, let's say $(r_{group}^i)_{group \in (0,1)}^{i \in[1,n]}$ where $r_0^i$ and $r_1^i$ are the rates of success in the $i$-th pair of ...
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0answers
40 views

multiple hypothesis correction for meta-analysis with missing p-values

I would like to combine multiple p-values (e.g., using Fisher or Stouffer), where some hypotheses may have missing p-values across studies. e.g., ...
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27 views

Comparing effect sizes of two treatments from a large number of studies

I suppose this would be some kind of meta-analysis. I would like to compare the effect sizes of two treatments from a large number of published studies. I would like to show that the other treatment ...
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1answer
34 views

Averaging effect sizes?

Suppose I need an estimate of effect size for a power analysis. I read the relevant literature and calculated Cohen's $d$ from some number (3) of studies. If the Cohen's $d$s are, for example, $d_{1} ...
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2answers
82 views

Change scores as outcome measurements in clinical trials

I am performing a Meta-Analysis about a mental disease, comparing intervention vs. control groups and try to extract outcome results from published study papers. In some clinical randomised trials ...
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61 views

Meta-Analysis Data Extraction Process - Reporting of Outcome Measures

I am conducting a Meta-Analysis of a clinical intervention in randomised trials. I am using the RevMan Software of the Cochrane Foundation. The problem regards the extraction process of relevant ...
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1answer
153 views

Torn between PET-PEESE and multilevel approaches to meta-analysis: is there a happy medium?

I am currently working on a meta-analysis, for which I need to analyze multiple effect sizes nested within samples. I am partial to Cheung's (2014) three-level meta-analysis approach to meta-analyzing ...