All Questions
Tagged with meta-analysis-mixed-effects or meta-analysis
1,534 questions
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15
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How to do pooled meta analysis of single arm studies with continous data (pre-post intervention) in R?
I tried to do meta analysis of single arm studies (without control) using R studio, but I still can't find how to do the pooled analysis. I only have the mean and SD from pre treatment and mean with ...
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1
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31
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What is the relationship between OR, se, and CI
Apologies if this is a duplicate question, but I have been unable to find a clear answer.
What is the relationship between Odds Ratio, standard error, and confidence intervals?
I try to do a meta-...
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0
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31
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Wald test with permutation standard error?
Many statistical tests are based on a Wald-like z-statistic: $z = \frac{\hat{\theta} - \theta_0}{\text{SE}(\hat{\theta})}$ where $\theta$ is the parameter of interest, $\theta_0$ is the value under ...
- 429
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1
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29
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How to obtain one study effect from several within-study effects?
I want to do a narrative review (as a meta-analysis is not possible), and I want to conclude per study whether the predictor was significant yes/no. However, studies have several effect sizes per ...
3
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1
answer
94
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Stouffer's Method: Restriction on underlying hypothesis tests producing p values?
When using Stouffer's method to combine p values, they first have to be converted to z scores. Does this mean that p values that are derived for example from a permutation test are not valid inputs, ...
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2
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45
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Pre-post design (no control) at baseline and multiple follow up times (Meta analysis)
I am working on a meta-analysis project and need advice on choosing the right statistical method. We have access to around 18 publications. The design is similar to pre-post treatment design (no ...
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3
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1
answer
58
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Different results meta vs metafor for three-level meta-analysis of proportions
The R package “meta” has a function “metaprop” for meta-analysis of proportions and the argument “cluster” allows for three-level meta-analyses to be fitted. The R documentation (version 8.0-1) ...
3
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1
answer
130
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Wilcoxon Matched-Pair Signed-Rank and Correlation (Pearson, Spearman, or Kendall) [closed]
According to the publication Extracting Pre-Post Correlations for Meta-Analyses of Repeated Measures Designs https://matthewbjane.quarto.pub/pre-post-correlations/ , if the value of the t-statistic ...
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17
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How can one perform meta analysis on multiple studies that report paired t test results (with no control group)?
I would like to conduct a meta analysis on studies that adopt a pre post study design with no control group - i.e. all studies report paired t test results based on one sample (same sample within ...
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1
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1
answer
75
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Choose the right Statistical test in my case
I have a survey dataset where each participant answered 20 unique questions. I want to analyze the data statistically but am unsure which test to use: ANOVA, repeated measures ANOVA, or mixed-effects ...
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1
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1
answer
9
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Include two groups post-test design study for meta-analysis pool?
I am new to meta-analysis and currently trying to find effect of intervention on service users.
Most of the studies that I found were RCTs or quasi-experimental studies with 2 groups pre-post test ...
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1
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28
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Performing within-group meta-analysis without access to correlation coefficient r values [duplicate]
The idea is to perform a meta-analysis of single arm studies of an intervention in which there is a baseline measurement and post intervention measurement of a continuous outcome variable. The outcome ...
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0
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17
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How can I assume covariance (rho) between two psychiatric disorders for multivariate meta-analysis
I want to do a multivariate meta-analysis, as I have several effect sizes per study. For example, I want to investigate the risk (Odds Ratio) of Conduct Disorder (CD) and Oppositional Defiance ...
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24
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Meta Analysis effects size calculation with multiple explanatory and response variables
Working in R.
I've a data set which contains 60+ studies and 200+ sites.
I'm wanting to calculate effect size (Hedges G') of each explanatory variable on each of my response variables.
Data were ...
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0
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1
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23
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Correlation value for calculating the variance of effect size (mean differences)
This is the Stat question
I’m currently conducting a meta-analysis that primarily uses within-subject/repeated measures row mean difference as the effect size.
In a referenced study, data and code ...
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7
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2
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516
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Can I pretend that Spearman's = Pearson's correlation coefficients for meta analysis?
How legitimate it is to pretend that Spearman correlations are Pearson correlations?
I am currently working on a systematic review and meta-analysis examining the correlation of Test A with Test B (...
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1
answer
97
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Back-transformation of Freeman-Tukey transformed incidence rates (in metafor)
Problem description
I am conducting a meta-analysis of recurrence rates after surgery for different treatments of the same disease using the metafor package, but I ...
- 81
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45
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Mean difference (continious data) (in meta analysis) (Within-group unstandardized or standardized mean differences)
I am working on a meta-analysis project and I am completely new to this topic, so any advice would be highly appreciated. Specifically, if you could provide a reference or code in R, that would be ...
- 155
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0
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33
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what is the appropriate risk of bias assessment tool for within-subject experimental designs?
I'm working on a systematic review in which the vast majority of the included studies are using a within subject design, where all of the subject perform one or more tasks in one condition, and then ...
- 85
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0
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15
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How to calculate a combined odds ratio for a single study
I am conducting a meta-analysis where the majority of my papers report M and SD and so I am using SMD as my effect size. I have one study which presents the odds ratio, so I am hoping to convert this ...
2
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16
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Which estimator to choose for meta-analysis^ REML or CR2 with Wild Bootstrap?
I am following the following book: https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/multilevel-ma.html
I can't choose which estimator to choose: REML or CR2 with Wild Bootstrap.
Or maybe ...
- 21
3
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1
answer
90
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All correlations meta-analysis
I am new with MetaSEM. I am trying to fit a simple meta-analysis (I just want to analyse 2 correlations; see Figure).
Here you can find the code that I am using with some simulated data but if there ...
- 73
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45
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Different results using rma.mv: Mods vs. Subset
I am conducting a three-level meta-analysis in R using metafor. While computing a subgroup analysis I noted that the assumed summary effect of one subgroup differs from the one I would get while doing ...
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0
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27
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Meta-analysis of ROC areas with missing confidence interval
I am performing a meta-analysis of a diagnostic score going from 0 to 10 based on 30 reports. For each report I have data on number of false/true positive/negative patients for one and in some cases ...
- 301
1
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0
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43
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Oddly large coefficients in meta-regression with correlated and hierarchical effects
I am performing meta-regression to investigate the effect of participant characteristics and study characteristics on the incident rate ratio (IRR) estimates. I have data from 10 studies, each ...
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0
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22
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Are Subgroup-analyses in Metafor two-tailed?
this is probably a really obvious question, but I just want to make sure I interpret everything correctly. I am conducting a three-level meta-analysis on experimental studies in R using metafor, when ...
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1
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2
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37
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How similar do effect sizes (Odds Ratios) be to pool them in a meta-analysis?
I am currently working on a meta-analysis on the effect of household income on depression. An optimal primary study to be included would measure participants household income and depression at ...
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2
votes
1
answer
121
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What approach to use when dealing with multiple types of data dependency in a meta-analysis?
I am doing a univariate meta-analysis as well as TSSEM analysis, using the Theory of planned behavior, and correlation coefficients as effect sizes, but do not know what approach is best when dealing ...
- 31
0
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0
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22
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Meta-analysis equivalent of a one-tail, one-sample t-test
I am performing a meta-analysis comparing two methods for performing a test; the traditional (TRAD) method and a new experimental (EXP) method. As a secondary analysis I want to look at the maximum ...
- 121
4
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1
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93
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Correctly modelling a continuous log dose-response relationship in meta-regression for small dosages
I’m looking at the effectiveness of a type of programme that can have a range of number of sessions, 1 to 20. I start with a meta-analysis (k = 70) that tells me the average effect size for that type ...
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34
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Is there a way to convert a bayesian credible interval to standard deviation?
I am conducting a meta-analysis and one of the included studies only provides as a measure of dispersion the 95% credible intervals, I would like to know if there is a way to convert it to standard ...
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0
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16
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Effect Size Calculation from 2-way ANOVA results: Meta-analysis
I am currently extracting data for a meta-analysis on continuous outcomes.
I am extracting means and standard deviations for two separate groups (patients and controls) and will later calculate ...
- 542
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0
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25
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Correlation index (r) in matched pair meta-analysis
CONTEXT:
We are to perform a meta-analysis of the difference between a and b. In all the collected studies, a and b are the mean times to failure in seconds of two different tasks performed by the ...
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23
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Calculating Confidence Intervals for Odds Ratios Based Only on Odds Ratio and Total Sample Size [duplicate]
I'm running a meta-analysis, and many studies report only the total sample size and odds ratio, which complicates calculating the sampling variances. I could use the odds ratio, total sample size, and ...
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0
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12
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Meta-analyses with effect sizes from observational data - how to handle mutiple results from one study
I am hoping to perform my first meta-analysis using adjusted odds ratios and confidence intervals (using Stata).
I am specifically looking at one class of groups that has two subclasses.
I have these ...
5
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1
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114
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How to report the between study variance through tau2 for vaccine effectiveness using R's metafor?
My colleague and I have been performing a meta analysis using R's metafor package and the rma.uni function to estimate pooled ...
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0
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26
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Can someone help me understand the overall comorbidity in this OCD meta analysis?
I writing an essay regarding the prevalence of ocd in law students and I wanted to assess the overall comorbidity that ocd has
So I found a very good meta analysis regarding ocd and it's comorbidities ...
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2
votes
1
answer
44
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Meta-analysis vs mixed-effect model to estimate effect size
I have data from three previous experiments and I want to use them in a power analysis to calculate the required sample size for a new study. A classical way to do this, is to make a meta analysis to ...
- 356
3
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1
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72
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Two ways of meta-analysis: Which one is preferred?
Suppose that I have $k=1, 2, 3...K$ studies with the same set of a continuous independent variable $Y$ and dependent variables $X$. The effect between studies may be different, and I want to run a ...
1
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1
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26
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Coding for meta-analysis
When coding studies to be included in a meta-analysis (meta-regression) not all of them will have the same covariates. My question deals with the following situation.
One study has age and sex.
One ...
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1
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0
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29
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Meta analysis with overidentified 2SLS estimates
To meta analyze estimates of some parameter $\theta$, we assume we have estimates $\hat{\theta_i} = \theta_i + \epsilon_i$, where $\theta_i \sim G(\theta)$ and $\epsilon_i \sim N(0, \sigma_i^2)$. If ...
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1
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0
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22
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Rescale measures of association for meta-analysis (e.g., log-transformed independent variables)
I am carrying out a meta-analysis of studies evaluating the association between blood levels of specific environmental pollutants and health outcomes (binary).
Some studies reported OR/RR/HR for ...
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2
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1
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44
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How to handle dependent effect sizes in meta-analysis with a single control group?
I am conducting a meta-analysis and need advice on extracting effect sizes from studies where multiple treatment groups are compared to a single control group. Specifically, I am dealing with standard ...
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6
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1
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435
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Related low p-values that do not meet statistically significant thresholds
If I were to have multiple related measures, each with "low" p-values that do not quite meet the threshold of significance, could the fact that multiple measures produce a general trend with ...
1
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1
answer
47
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Conducting a network meta-analysis in R - inputting dichotomous data
I am looking to conduct a meta-analysis in R using {netmeta}. However, my outcome of interest is a little bit complex and would appreciate advice in how best to enter it into the dataset.
I am looking ...
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1
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1
answer
116
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How to find difference between two hazard ratios (ratio of hazard ratios)
I am reading a meta-analysis and in this paper the authors somehow compared HR from two groups with different treatments in each study. As I know, we can compare outcomes from two groups with ...
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4
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2
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146
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Analyzing an experiment which consists of many "small" experiments
Consider the following setting: I am trying to choose between two bakers for my new bakery, Baker A and Baker B. The way that I am evaluating them is on a set of different cakes on the menu: Cake 1, ...
0
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1
answer
59
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Robust Variance Estimation or Cluster Wild Bootstrapping on a multivariate meta-analysis
Cliffnotes
Can I use RVE or cluster wild bootstrapping in meta-analytic models that are not
meta-regression?
Question
I am conducting a three-level meta-analysis looking at the effects of a particular ...
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29
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Conditional Logit Model - Utility Structural Estimation - Meta Analysis
I am performing a structural estimation of an utility function across several databases (from distinct articles) using McFadden (2001) framework (see reference).
Each article's database includes N ...
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1
vote
1
answer
142
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Understanding correlated and hierarchical effects models in meta-analysis
I am doing a three-level meta-analysis, and I want to compare a three-level correlated and hierarchical effects model where effects are nested between-studies to a two-level model where variance at ...
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