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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22 views

'moderator' analyses in a meta-analysis

Sorry if I use the wrong terms here, I am still learning how to do this. I am conducting an meta-analysis comparing two treatment types, using Cohen's d. I have completed the primary analyses of the ...
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21 views

Bootstrap in meta-analysis

I am conducting a network meta-analysis of clinical trials on cardioprotective drugs in patients undergoing chemotherapy (see PROSPERO protocol CRD42015029915), and I was wondering whether it would ...
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1answer
32 views

How to treat cohen's d Infinites/NaNs calculated using binary proportions for metanalysis

I am trying to do a metanalysis (using Wilson meta-analysis http://mason.gmu.edu/~dwilsonb/ma.html) comparing the dropout percentage of a treatment with a control group. I tried to calculate the ...
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0answers
19 views

Meta-analysis: Calculating variance/ standard error of a mean difference for a within-subject design

I'm currently doing a random-effects meta-analysis. The studies that I'm analyzing come from a within-subject design where the same participants complete both the experimental and the control ...
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37 views

Linear regression from two meta-analysis outcomes in R metafor

First of all, I am sorry if this question sounds very basic, but I am new in meta-analysis and statistics and I don’t know how to execute what I have in mind. I have a dataset of 60 experiments with ...
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1answer
30 views

Meta Analysis with continues outcome - appropriate effect calculation

I am conducting a meta analysis with studies on psychological treatments with continues outcome variables. The included studies use two different scales (either 0-20 or 0-100) for each study i have ...
3
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1answer
81 views

Funnel plots and publication bias: Does asymmetry means a bad meta-model?

I have done a multi-level meta analysis with R, using metafor package. My questions relates to funnel plot asymmetry. (1) If a regression test suggested funnel asymmetry (i.e. suggested a ...
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28 views

Which meta-analytic method should I apply to my data set?

My dataset I have a dataset where Effect sizes are nested in Testing occasions, which are nested in ...
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0answers
30 views

Is it possible to estimate the posterior distribution of the difference of two means using published t statistics?

I am interested in using summary statistics from published papers to obtain posterior distributions for the difference of two means. In the setting of the classic t-test, we can imagine measurements ...
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0answers
16 views

Converting HR to OR for meta-analysis (or vice versa)

I've looked both in SO and others (Borenshtein's) and have yet to find an answer. I have some studies that provide an adjusted OR estimate, some HR, and then some with adjusted RR. I can subgroup and ...
3
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1answer
32 views

Why no talk of n-level meta analyses instead of three-level meta-analyses?

I have a data set that I'm going to use for a meta-analysis that has a lot of dependencies between the effect sizes. Because of this, I've started to look into how people normally handle this, ...
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0answers
22 views

Do i need to calculate sampling variance for meta-regression analysis?

My question concerns the calculation of sampling variance for studies using meta-regression or systematic review methods. I am using raw mean differences from different surveys conducted in the same ...
1
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1answer
25 views

Subgroups Cochran's Q test

I'm actually doing a meta-analysis to investigate the effect of an instructional method on learners' performance. I have calculated coehen's d and Hedges' g, the average global size, W (weight) for ...
1
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1answer
55 views

Funnel plots: random effect model versus mixed-effect model

I am using multi-level meta-analysis model in metafor package in R. The funnel plot for a random effect model (with moderator) and a mixed effect model (without a moderator) are shown below. Including ...
0
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2answers
31 views

standardized mean difference vs raw mean difference

Is there a difference between standardized mean difference and raw mean difference when conducting meta analysis or systematic review and the measurement scales are same, would SMD and raw mean ...
3
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3answers
144 views

Are multi-level models equivalent to saying multi-variate models?

Sorry if this sounds as a dump question but I was wondering: whether we can call the two-level mixed effect model that uses rma.mv in the ...
5
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1answer
46 views

Testing for publication bias in meta-analysis when effect is raw mean

I am conducting a multi-level meta-analysis using rma.mv in the metafor package in R. The effect size measure I am working with is the raw mean (...
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0answers
33 views

Using predict.rma with categorical and continuous moderators

I am trying to use predict.rmawith one categorical SNACK and one continuous CALORIES ...
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0answers
21 views

Predicting a parameter using the estimates of a series of studies, using study location and year as random effects

I would like to ask whether my analysis design is correct. I gathered all the trials on a series of drugs for a certain condition (second line therapy for advanced/metastatic lung cancer), published ...
0
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0answers
71 views

Effect of ignoring correlation between studies providing data for multiple comparison on the meta-estimate

I am addressing reviewer comments on a meta-analysis paper I performed on mean gastric pH in fed and fasted states. Some literature studies included in the meta-analysis provided data for multiple ...
1
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1answer
81 views

Meta-analysis of standard deviation using the `metafor` package in R: can we distinguish between the different types of variability?

I am doing meta-analysis of standard deviations of parameter X (gastric pH). My collated studies are conducted on humans and each study report mean plus/minus SD of gastric pH in the studied ...
2
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1answer
36 views

Fisher's combined test vs testing uniform distribution of p-values

In testing a global null hypothesis, with independent tests, the p-values are distributed as $U(0,1)$. There are many goodness-of-fit tests to check that the distribution is uniform. For example, this ...
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0answers
20 views

Can I obtain a mean difference from fold change data, number of participants and p values?

I have gene expression in fold change for cases vs controls. Therefore, below I have 4 times the gene expression of gene x in the cases compared with the controls. I have the number of participants ...
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2answers
24 views

Can I obtain the means for two groups using their mean difference?

I have a study which provides the mean difference for two groups (alongside 95%CI, SE, n and p-value). I would like to extrapolate the raw means to use in Revman to perform a random-effect SMD ...
1
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1answer
32 views

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 ...
0
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2answers
58 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 ...
1
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1answer
24 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 ...
3
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1answer
48 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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1answer
41 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 ...
1
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1answer
31 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 ...
1
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1answer
19 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 ...
1
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1answer
36 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 ...
1
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1answer
61 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 ...
1
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2answers
39 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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0answers
18 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 ...
7
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0answers
85 views

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 ...
1
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0answers
47 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 ...
4
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3answers
50 views

Power of Meta Regression

Why it is said that Meta Regression analyses have low power? & How to calculate the same?
2
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0answers
31 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 ...
4
votes
2answers
83 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 ...
3
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1answer
49 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 ...
4
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2answers
95 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 ...
1
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1answer
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 ...
1
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2answers
69 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 ...
1
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1answer
40 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 ...
0
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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 ...
-1
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1answer
29 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 ...
1
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1answer
120 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 ...
0
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1answer
29 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 ...
0
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2answers
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 ...