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3
votes
2answers
214 views

What is the equation for combining standardized mean differences across multiple studies?

I am trying to come up with a combined/pooled standardized mean difference for meta-analysis of a dozen or so studies that have the same binary predictive groups and the same continuous outcome ...
0
votes
2answers
25 views

Combining treatment as usual and experimental placebo control groups in one meta analysis

I'm conducting a sr and meta analysis of interventions that target children with ADHD in school settings. The studies reviewed include both treatment as usual comparisons and experiments placebo ...
4
votes
1answer
136 views

Practical data collection tips for performing a network meta analysis (mixed treatment comparisons)

As described previously in this post, I am currently working through issues with conducting a network meta analysis (also known as mixed treatment comparisons). For those unfamiliar with this method, ...
3
votes
1answer
89 views

Individual patient data meta-analysis with SD's as outcome measure

I'm reading the results of an individual patient data (IPD) meta-analysis. The outcomes of the study is expressed in standard deviations (SD's). Comparisons between groups are stated as 0,23 (95% CI ...
2
votes
1answer
137 views

Statistics for multi-test replicated correlation analysis

I'm analyzing pairwise correlations of time series between two different types of microarrays done for several samples as biological replicates. So, I have M1 number of variables on type 1 array, M2 ...
0
votes
1answer
96 views

Using mvmeta to perform a network meta-analysis

A few months ago, I posted these two questions about practical considerations in collecting data for a network meta-analysis and the available R packages that can analyze such data. For those ...
3
votes
0answers
65 views

What is the difference between a frequentist approach with meta-analysis and a Bayesian approach?

Say I am performing an analysis looking at a particular health measure. I am interested in the difference in that measure between patients and controls and wether or not the difference is different ...
3
votes
0answers
136 views

Meta-analysis with zero values for mean and sd

I want to do a meta-analysis with count data for treatement/control cases (abundance of sea polichaetos). My problem is that I need to use zero values (an informative zero value) for the mean and ...
2
votes
0answers
37 views

How to use a meta-analysis to assess the equivalence of two different procedures?

I'm making a comparison of two surgical procedures, and I want to know how I can analyze the data I have for a meta-analysis. The overall surgical procedure is the same, but some authors choose to ...
2
votes
0answers
125 views

PLINK meta-analysis method

I am trying to determine exactly what method PLINK uses for meta-analysis. I can't find it in the program documentation/FAQ anywhere. Inverse variance? (given the meta command only requires effect ...
2
votes
0answers
112 views

Multilevel Meta-analysis with several treatments

I have data on a number of studies comparing response rates to various treatments of a disorder. There are six different treatments, and some studies only test a single treatment. For each treatment ...
1
vote
0answers
19 views

New Method for Meta-Analysis to Determine Agreement Between Multiple Sources

I'm writing a paper on a method to determine the statistical significance of whether a sample of sources are in mutual agreement on specific premises. This is done by counting the number of sources in ...
1
vote
0answers
22 views

Analysing Several Existing Data Sets

I have several data sets that gathered similar data on a similar population group in one setting. Can I simply combine the data on common variables or do I need to engage in some pooled analysis?
0
votes
0answers
39 views

How many chains should we choose in multi-treatment meta-analysis using MCMC and WinBugs

I am learning to undertake multiple treatment comparison meta-analysis (aka network meta-analysis or MTM) using WinBugs. One of the specifications are choosing the number of chains to run in the MCMC ...
0
votes
0answers
30 views

How to - meta-analysis and forest plots using Beta correlation coefficients

Does anyone knows how to meta-analyse and create forest plots using beta-correlation coefficients?
0
votes
0answers
38 views

Publication bias in meta-analysis of single case studies

Is there a way of investigating publications bias in a meta-analysis of single case studies?
0
votes
0answers
136 views

Orwin's Fail safe N calculation - critical d value

I'm trying to calculate Orwin's fail safe n but cannot figure out all of the terms in his equation - specifically, how is the critical value of d calculated? Thank you
0
votes
0answers
1k views

How do you make forest plot with difference in means and CI?

I have to prepare forest plot for anti-hypertensive drugs. So far, I have seen forest plots that used odds ratios. I have difference in mean change in blood pressure in 2 groups along with 95% ...
0
votes
0answers
63 views

Which effect size measure is appropriate for meta-analysis of pharamcogenetic studies

I have been poked for using cohen's d as an effect size statistic in a meta-analysis of pharmacogenetic studies. Apparently is has been argued that (McGough et al., 2009) cohen's d is not appropriate ...
0
votes
0answers
272 views

Comparing logistic coefficients on different logit models?

I've developed a logit model to be applied to six different sets of cross-sectional data. All the models have same independent variables but the sample size is different for each model. What I'm ...
0
votes
0answers
38 views

Inconsistent estimates of H in a meta-analysis

I'm working on a meta-analysis and have computed H based on a maximum likelihood estimate of tau^2. This value of H was 0.99. However, as an independent check, I also computed H as the standard ...
0
votes
0answers
100 views

Meta-analysis using GWAS datasets of different diseases

It is well known that in Meta-analysis of Genome-wide association studies (GWAS) we combine the results of independent studies to get a pooled effect estimates (Odd ratios or betas) in order to ...