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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Meta-analysis in R with multiple probes of a microarray

Regarding a question posted here, I have the same problem and I can't figure out a solution. I started by doing my meta-analysis in PLINK, but I want the confidence intervals of the meta-analysis, ...
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22 views

Combining two Odds ratios with the same control group

I am doing a meta-analysis of observational studies. As the disease I am working on has different stages, some of the studies reported ORs (95%CI) for each stage separately in comparison to a single ...
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111 views

Calculating effect sizes and standard errors for the difference between two standardized mean differences

I have two related questions, both of which are related to a meta-analysis I am performing where where the primary outcomes are expressed in terms of the standardized mean difference. My studies have ...
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78 views

Forest plot for meta-analysis displaying the mean ES with and without outliers

I am conducting a meta-analysis and am trying to produce a forest plot displaying the mean weighted effect size with and without the outliers. I looked on so many websites and tried a lot of syntaxes, ...
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136 views

Combining data from different sources

I want to combine data from different sources. Let's say I want to estimate a chemical property (e.g. a partitioning coefficient): I have some empirical data, varying due to measurement error around ...
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27 views

How to perform a meta regression with a random effect model?Which model should I use?How to start? (beginner)

I have to perform a meta-regression, using mixed or random effects model, but I don't have any software (except Matlab) and I'm new on this topic (having a relativelly poor statistics background). ...
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11 views

Meta-analysis with CMA

I wonder if I could ask you all a quick question regarding the input of effect size data into Comprehensive Meta-analysis(CMA)? I have tried contacting via the software portal with no response. I am ...
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1answer
56 views

Extracting data from bivariate vs multivariate analyses for the purposes of meta-analysis

I have what is a very basic question about meta-analysis. If data from individual studies about the relationship of interest are presented in both bivariate and multivariate analyses, which should I ...
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26 views

Does normal distribution assumption improve the quality of results of a meta-analysis of effect-sizes?

Different methods of meta-analysis have different assumptions and one of the popular assumption that has been invoked so often is that of normal distribution. can we work out meta-analytic results ...
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29 views

Meta-analysis of logistic regression

I would like to perform meta-analysis on studies that have a dichotomous outcome measure. I have the raw data for all studies I am including in my meta-analysis, so I can choose the best statistics to ...
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26 views

What to do with coefficients of log-transformed predictors in meta regression of effect sizes?

I am preparing data for a meta-analysis regression of effect sizes, in which I will study the determinants of effect size for a specific variable across several studies. I have some studies in my ...
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76 views

convert F-values to effect size

For a meta-analysis I'd like to calculate and aggregate ES-values from studies reporting F-values for mixed model-ANOVA-s. Can you recommend any literature specifically on this topic? +++ After ...
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If original data are available, should replication data be added and everything re-analysed (IPD) or is a meta-analysis better?

One common practice which increases the odds of obtaining spurious results is to keep collecting observations after a preliminary analyses are performed[1]. This occurs when the cutoff point for ...
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13 views

Moderator Sample Size Discrepancy in Meta Analysis

I'm coding a meta analysis and have come across a paper that seems to have significant variation in the number of participants who answered specific demographic questions. The total sample size is $N ...
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1answer
16 views

Comparing participant numbers in a systematic review

I am doing a systematic literature review on theories for measuring user satisfaction. I have to rate the quality of these theories, and one of the criteria should be the number of participants in the ...
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67 views

Is the approach to moderator analysis advocated by Hunter, Schmidt and Jackson (1982) valid?

There are several approaches, for example, moderated regression analysis and Hunter, Schmidt and Jackson. The HSJ (1982) approach invokes true variance computation based on subsets say male- vs ...
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98 views

Transforming scores between different rating scales – Importance of response options

I'm working on a meta analysis of the mean of a single variable (using arithmetic mean as the effect size, rather than the relationship between two variables). The attitude I'm assessing has been ...
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25 views

Power analysis in meta-analysis: Compute the maximum significance needed by an additional sample for meta-analysis to reach genome-wide significance

I have an association study analysis (GWAS) that does not reach genome-wide significance (max p-value < 10E-5), and there is a potential additional sample (so with known N and known effect size/SE ...
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35 views

What is the unique thing about super-population for a meta-analysis?

The Encyclopedia of survey research indicates that super-population is similar to what may be termed as infinite population. However, in a meta-analysis of effect-sizes, we use outcomes of sample ...
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40 views

Meta-Analysis of GEO data using GEO2R

I'm using data from the GEO and GEO2R online analysis tool provided by NCBI. The GEO2R analysis gives the following scores: adjusted P, P, and t scores. I have 5-10 studies using the GEO2R tool. Is ...
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1answer
90 views

What makes the results differ for fixed-effects models vis-à-vis random effects models?

What makes the results differ for fixed-effects models vis-à-vis random effects models? The Cochrane Collaboration's website indicated that two models can produce different results for a meta ...
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23 views

Meta-analysis with known confounder

I’m performing a meta-analysis in which the main outcome of interest is a correlation coefficient between two variables, $X$ (a psychological measure) and $Y$ (a biomarker). $Y$ is known to be ...
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1answer
97 views

Transform odds ration (OR) in the context of multivariate meta-analysis in R (metafor package)

I would like to conduct a multivariate meta-analysis (multiple treatment arm meta analysis) comparing the effect of different drugs. My outcome measure is discrete and describes the number of ...
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1answer
119 views

Understanding the Meta-analysis Model output in layman terms

I am conducting a meta-analysis from a large number of studies. In each study are compared weights of two groups (fishes with and without internal parasite). I am interested if the weight can explain ...
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1answer
45 views

Estimating an overall summary statistic (mean) for a value reported by ten published studies

Background I am writing a systematic review and meta-analysis of the association of exposure to X with the outcome Y. I have identified ten studies that report on this subject. This will be a ...
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1answer
30 views

Appropriate homogeneity test for meta-analysis

I'm looking at measures from different studies (for a meta-analysis) and hoping to provide an aggregate effect size. I'm trying to identify hetero-/homo-geneity to determine whether I should use a ...
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1answer
83 views

Meta-analysis of RR and OR calculated from 2x2 tables in R using metafor

Background My question concerns the calculation of risk ratios and odds ratios for meta-analysis using the metafor package. I know it looks long, but please bear ...
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74 views

Meta-analysis of prevalence at the country level

I'm working on a meta-analysis of prevalence data. The aim is to get estimates of prevalence at the country level. The main issue is that the disease is highly correlated with age, and the sample ages ...
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77 views

Why are small sample sized avoided in meta-analyses?

In most meta-analyses that I've read, the authors choose to exclude studies with really small sample sizes (e.g n=10). Why is that? Speculation I could speculate that one reason is that since the ...
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1answer
46 views

Combining outcome measures for meta-analysis

I have to conduct a meta-analysis. Following problem occured: a single study have measured Quality of Life and therefore, used two questionnaires. Now is my question whether I have two choose one of ...
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80 views

Stepwise meta-regression with R (metafor)

I am using the "metafor" package to do a multivariate meta-regression in "R". I have 6 predictors and I am able to run the full model (all the predictors simultaneously in the model) just fine. ...
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1answer
43 views

Bayesian meta-analysis

A colleague is conducting a Bayesian meta-analysis of some large-scale drug studies. Although she has experience with 'conventional' meta-analysis, she in new at the Bayesian approach. We have read ...
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108 views

Multivariate meta analysis and metaregression with multi arm randomized controlled studies

Please, i need to do a network meta-analysis and metaregression or a multivariate meta analysis and metaregression. I have multi arm randomized controlled studies. I tried the metafor package Dummy ...
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112 views

In a meta-analysis, how should one handle non-significant studies containing no raw data?

Let's say that I'm conducting a meta-analysis, looking at the performance of group A and group B with respect to a certain construct. Now, some of the studies that I'll come across will report that no ...
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1answer
74 views

Meta-analysis Hazard Ratio

I need to explain the calculations involved in a meta-analysis with Hazard ratios (random effects) for programming in a tool. It is not possible to use statistical softtware neither webpages where ...
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1answer
81 views

Sample-adjusted meta-analytic deviancy macro/syntax for Excel, SPSS, MPLUS

I need to compute the sample-adjusted meta-analytic deviancy (SAMD) as part of an outlier search with meta-analytic data. Because we have a very large amount of meta-analytic data, computing this ...
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52 views

How to do multiple treatment meta-analysis?

I would like to compare 3 different treatments (no one treatment is considered the placebo, and these are not randomized control trials) from multiple studies in a meta-analysis. I am using the ...
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2answers
112 views

Meta-analysis of means and medians in R?

I've been asked to review the literature for all studies that estimate the mean and median Blood Lead Level (BLL) in a certain country, and then perform a meta-analysis to come up with one overall ...
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17 views

How to summarize mean +/- S.D. across disease severity

I am performing a meta-analysis and I have several papers that measure compound X in the blood of patients with a given disease. These papers have classified patients into groups based on disease ...
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28 views

One-way Anova Meta-analysis

I have a series of medical studies that I would like to summarize. Each paper measures a component in the blood (call it substance X) in patients with the same disease. Furthermore, each paper has ...
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82 views

Looking for beginner resources with effect sizes

First post here; first I would like to say that I have no background in stats whatsoever and not so much in math either (enriched high school math, and that's it). I started an MA and we have to do a ...
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16 views

How to assess heterogeneity between fitted, correlated parameter values?

I have four datasets, and for each one, I fit the same 3-parameter model. I'm interested in making a statement about the heterogeneity of each parameter value of the model, across the four datasets ...
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156 views

Multivariate meta-analysis in R: how to investigate network of variables

I would like to conduct a meta-analysis to investigate the interaction of three variables:hair color (dark/light), gender (male/female) and size (continuous). I have three studies reporting effect ...
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1answer
152 views

How to best analyze these data?

I'm trying to figure out a way to analyze these data that I have: These are data that I pulled from various studies, and each study has a different sample size, and each study reported an ...
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65 views

Conducting IPD meta-analysis when studies use different measures

I'm interested in conducting an individual patient data (IPD) meta-analysis in which the main outcome of interest is a correlation coefficient between and IV and DV. The IV is measured slightly ...
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65 views

Is there any procedure to test the significance of meta-analytic estimate of correlation based on a set of sample-correlations?

Meta-analysis generates an estimate of an overall correlation. How could we examine that it is a valid estimate.
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1answer
123 views

Prevalence conversion to effect size in meta-analysis

I'm used to thinking about meta-analyses in terms of evaluating the impact of an IV on an outcome of interest (ex: relationship between a teacher's level of self-confidence and student outcomes), and ...
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1answer
282 views

Are the law of statistical regularity and inertia of large number applicable at level of meta- analysis? [closed]

Principles of sampling are applied on study of sample data on variables collected from number of observations(n) for estimation of population parameter(effect size). Meta analysis is applied on sample ...
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1answer
223 views

Testing main effects and interactions with rma from metafor

I'm not sure how to test for main effects and interaction effects between multiple moderator variables in metafor. Am I doing this right? My dataset is quite large, so we'll play with the iris ...
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55 views

Does measurement error include effects of moderator variables?

I am not very sure how to interpret measurement error correctly: as a constant, as a bias, or as a moderator factor? Is it presumed that measurement error includes moderator effects? Let it be in ...