Meta-analysis refers to methods focused on contrasting and combining results from different studies, in the hope of increasing precision and external validity, as well as identifying patterns among study results, sources of disagreement, or other interesting relationships that may come to light in ...

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meta-analysis mixed model - polygons based on meta-regression

When using meta-regression with factor moderators, result differ a bit from using seperate estimation based on subgroup, even if the same model (mixed effects) is used for both. I understand the ...
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5 views

How to use metfor and meta packages for forest parts of pooled proportions [on hold]

Has anyone used these packages to create a forest plot of proportions- where the proportion and 95%CI displayed for each study is a simple proportion with an exact binomial 95%CI, and the package ...
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2answers
55 views

How to transform standard deviations from standard deviations

so I am doing a meta-analysis & have access to height and weight data (with SDs) and am trying to transform this into BMI. This is rather straight forward for the means, but I am not sure how to ...
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19 views

Heterogeneity evaluation in meta-analysis

I ran meta-analysis to combine findings of 15 studies. I used Comprehensive meta analysis software to generate the results. The purpose of the analysis is to see if the results are consistent and can ...
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37 views

Approach to conduct meta-analysis including data from structural equation modeling

I'm planning to write a meta-analysis on a topic in which there are both clinical trials and structural equation modeling papers. For clinical trials i can compute easily the effect size and analyze ...
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38 views

How to work out 95% confidence interval from odds ratio and standard error

$lnOR = -0.909 - (-1.707) = 0.798$ and its standard error is $SE(lnOR) = \sqrt{0.2182 + 0.3182} = 0.386$. The results of the adjusted indirect comparison suggest that x was less effective than y for ...
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22 views

How to calculate pre and post treatment Hedge's g effect size to use in meta-analysis of studies with no control group?

How to calculate pre and post treatment Hedge's g effect size to use in a meta-analysis for studies with no control group? Can you do it with just pre and post treatment means and standard deviations ...
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17 views

Calculation for the estimated sampling variance of individual group raw mean

I am conducting a meta-analysis where the effect size is the individual group raw mean (i.e., not raw mean difference). A couple of questions: How (in R: metafor or otherwise) is the estimated ...
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33 views

Interpreting meta-analysis risk ratios for dose-dependent effect

I have worked out the risk ratio of different doses of a drug relative to a placebo and want to find out if there is a dose-dependent increase in an outcome/effect I am looking at. I have the (for ...
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52 views

Using effect size estimates and p-values to determine effect size variance and standard error

I am in the process of conducting a meta-analysis. I am having difficulty replicating effect sizes that are in previous meta-analyses on the same topic. That is, for a given study I am not getting the ...
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2answers
37 views

Odds ratio meta analysis with no control group

Is it possible to conduct a meta-analysis odds ratio with just an experimental group (no control)? I am looking at several studies that have an experimental group, with a response rate equal to the ...
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17 views

Odds ratio calculation of metabin function

I'm having some trouble understanding how the Metabin function from the meta package in R calculates the odds ratio. For example: I have an experimental group with 9 events and n = 20, and a control ...
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Specifying prior for effect size in meta-analysis

My question concerns priors on effect sizes, in my project the measure is Cohen's D. Through reading the literature, it seems vague priors are often used, such as in the well-know eight schools ...
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42 views

Bootstrapping CIs in Metafor (R)

I'm running a meta-analysis using log response ratios in R. Calculating the LnRR values and running the random effects model is a piece of cake, but I now want to determine 95% BCa CIs for my effect ...
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3answers
42 views

Power of Meta Regression

Why it is said that Meta Regression analyses have low power? & How to calculate the same?
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30 views

How can I account for range restriction when meta-analytically aggregating differences based upon bounded measures such as mean proportions?

Background and Problem In the past, I have read or conducted meta-analyses that aggregate effects based upon mean proportions. For example, in a typical psychological experiment dealing with human ...
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2answers
63 views

How can I compute a log odds ratio for a within-subject design that could be meta-analyzed with log odds ratios from between-subject designs?

Background and Problem I have a question concerning a meta-analysis combining effects from between- and within-subject designs using log-odds ratios (OR) as the metric of interest. I am familiar with ...
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1answer
46 views

Confidence interval of AUC with Reitsma model in mada R package

I am conducting a meta-analysis of diagnostic test accuracy studies comparing myocardial perfusion scintigraphy vs coronary angiography using the mada R package. I ...
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2answers
83 views

Which is the best method for meta-analysis of diagnostic test accuracy studies?

I am conducting a meta-analysis of diagnostic test accuracy studies focusing on myocardial perfusion imaging. I have used first Meta-Disc, but only for descriptive purposes, as it is clear that ...
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23 views

Significance of ratios between study populations

I have 2 published studies I need to compare. Both use the same 2 treatments and measure the same 6 outcomes; however, population size is different between the studies. The hypothesis I'd like to test ...
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2answers
54 views

How to carry out adjusted indirect comparison or 'Bucher method' meta-analysis

I have carried out a pairwise meta-analysis of Drug 1 vs. placebo and a pairwise meta-analysis of Drug 2 vs. placebo (I have used RevMan software to do this). From each meta-analyses I have an overall ...
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1answer
36 views

Meta-regression with Mean age in each study

My dataset from Meta analysis looks like below: For example: Stroke as outcome in 9 studies Treatment 1 Treatment 2 Odds Ratio Study Events Total Events Total ...
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1answer
32 views

What does pooled odds ratio in DerSimonian-Laird random effects model indicate?

what does pooled OR of 1.10 (95% C.I. = 0.90 to 1.25) actually means? I understand if 95% C.I contains 1 then the result is not statistically significant or there is no significant difference between ...
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28 views

Confidence intervals and meta-analysis

I've heard that meta-analytical needs are actually a good argument for using confidence intervals in most applicable figures. Could someone explain this to a non-statistician? I suppose it has ...
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87 views

Peto vs Mantel-Haenszel fixed effect odds ratios for meta-analysis

We are writing a protocol for PROSPERO for a pairwise meta-analysis comparing comparing two cardiovascular treatments. We expect to include 5 o 6 homogeneous trials, eventually (thus most likely ...
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1answer
28 views

Calculating effect sizes for meta-analysis. Which method to use?

I'm working on a meta-analysis, and I have a special problem regarding calculating effect size. Can anyone lend me some insight? I have a treatment and a control group, and for each group I have ...
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38 views

Calculation of the individual standard error of the mean for meta analysis bias estimation

I am trying to run the egger's test to check my meta analysis for publication bias. My data consists of a correlation effect size and a sample size from each study. I understand that the egger's ...
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36 views

Applying Meta Analysis Findings to predict future outcome

Can Meta Analysis results be used to predict future outcome? If yes, How? I am reviewing a Meta Analysis Report ( I haven't prepared this report). It is about treatment of hypertension in elderly ...
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2answers
54 views

What is the bias that makes researchers prefer values already published?

Some time ago I read that values (for a given process or associated to a certain physical phenomena) that have already been published, are more likely to be published in the future; compared to new ...
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3answers
129 views

What does observation mean in meta-analysis?

I am performing some meta-analysis and I came around some paper which says " The results of a meta-analysis of 72 studies encompassing 33,732 observations... etc" or "We conducted a meta-analysis of ...
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35 views

Appropriateness of mixed effects meta-analysis

I am a bit puzzled about a fundamental problem in mixed effects meta-analysis. Let us say a researcher wants to assess the impact of training programs on the diagnostic competence of a) teachers and ...
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2answers
42 views

How do I interpret & present Meta Analysis Report to Non-Statisticians?

I have a Meta analysis report & I have to present the findings of the report to non-statisticians. There are 2 treatment groups & 5 endpoints. How do I explain pooled odds ratio, forest ...
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57 views

Meta-analysis: How can I compute the sampling variance of Fisher's z-transformed correlation coefficients for within-subject designs?

Rosenthal and colleagues (Rosenthal, Rosnow & Rubin, 2000) suggest that it is possible to compute r (correlation coefficient) as an effect size from repeated measures designs (e.g., by converting ...
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2answers
155 views

Comparing relative risks of independent samples

I would be really grateful for help with the following. I have two independent studies looking at treatment A on disease B. Both give RRs of disease B according to treatment exposure for different ...
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30 views

multilevel meta analysis - interpretion

I wanted to do a multilevel meta analysis and I typed this command model5<-rma.mv(yi, vi, mods=~factor(intcode)+basemf-1, random=~1|stdy/id, data=salt) ...
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1answer
22 views

Conventions for interpretation of risk ratios

For the effect sizes there exist conventions as how big an effect size should be, for beeing considered low/medium/big - 0,2/0,5/0,8 - according to Cohen. Is there something equivalent in respect to ...
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2answers
45 views

Meta-regression / multivariate analysis of trials with a binary outcme

I have a series of single-armed trials where the outcome is a binary response. Imagine a trial where you have no control arm; you merely give 100 patients a procedure (which can be done in many ...
4
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1answer
52 views

How to perform a meta-analysis on incidence rates?

I have a number of studies with incidence rates of a disease in the population and I want to obtain a weighted average, also taking into account moderator variables; specifically (i) study design ...
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1answer
49 views

How to run Meta-analysis when data are given in OR and CI

I am currently working on my Master's Thesis (meta-analysis) and I have identified some articles with only OR given, so I have calculated the OR and CI for all of the articles to ensure they're in a ...
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35 views

Subgroup analysis - minimum requirements and conclusions to draw from them

In a metaanalysis, what are the minimum requirements a subgroup analysis and what may be explained by them? Is it possible to explain heterogeneity by them? Do you need a certain number of studies ...
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46 views

Repeated-measures meta-analysis with adjusted post-test means

I am conducting a meta-analysis over pre-test to post-test scores. To this end, I calculate Cohen's d with the following formula: ...
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57 views

Metafor package: rma - How to get agreement with metan in stata when the confidence intervals are not symetric about the effect estimate

I would be extremely grateful for help with the following. I perform meta-analyses using effect estimates and confidence intervals. However, I can only get agreement between rma in R and metan in ...
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1answer
27 views

Combining different normality transformations for Fisher's method

I have 2 data sets that are applicable to Fisher's method. One has a p-value of 0.07 and the other 0.15. Neither sets were normal or homoscedastic. The first satisfied the ANOVA assumptions only with ...
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60 views

Testing 3-way interaction of categorical variables in a meta analysis in R

I'm currently working on a meta-analysis using the metafor package for R. I have several categorical moderators, a few of which are multi-category, that I'm including in the analyses. When using one ...
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17 views

Techniques or resources about analyzing published studies data

Excluding meta-analysis, are there any technique or resources which discuss the analysis of published data? The second part of this paper could be a small lead to what i'm talking about PS i'm ...
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23 views

Meta-analysis on positively transformed effect sizes

I want to assess whether or not a wide range of animal behaviours in experimental studies change from control responses. As such, I want to compare absolute changes, rather than increases (+) or ...
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1answer
81 views

Metafor package in R: meta regression and scatter plot

I am doing a meta-regression with metafor package in R. The mixed-effect model for proportion is used to assess the linearity between study performed year and medication prevalence. Here below is my ...
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34 views

Are there any scientific journals about meta-analysis?

I'm searching about scientific journals which are oriented only about meta-analysis. I knew there were some but i can't find any both searching google and http://www.scimagojr.com/journalrank.php Are ...
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21 views

Averaging and comparing mean values across studies

I am having a statistical problem that falls into two parts: (!) I have several literature reports on studies that have investigated the effect of drug "A" on a particular laboratory parameter. Some ...
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36 views

Metaanalysis - how big should be the ICC (Intracluster correlation coefficient)?

The background is a metaanalysis of cluster randomised clinical studies. The included studies report no ICC for final values, the chosen ICC for the calculations was 0,02. Similar studies in the same ...