5
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A=B, A=C, B>C: Is this a violation of transitivity in a network meta-analysis?
One way to quantify the departure from transitivity is to add up the A-B, B-C, and C-A differences.
Under transitivity, this will have mean zero, and variance equal to the sum of the three variances, ...
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4
votes
Accepted
Network Meta-Analysis: Single Arm vs Contrasts Strategy Pros and Cons
The idea of how one can use single arm trials is that you assume that outcomes vary across trials, but that they are somewhat similar (assumption of exchangeability). If you have multiple single-arm ...
- 35.2k
4
votes
Why is there a discrepancy between the underlying meaning of variance between basic statistics and meta-analyses?
What you denote as $v_d$ is not the variance of raw data, but a variance of a derived statistic based on a bunch of raw data. To distinguish the sample variance of raw data from the variance of a ...
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3
votes
Accepted
Meta-analysis based on cohort studies only
A mixed effects logistic regression (if the outcome is binary/binomial) is certainly one plausible approach that could deal with the situation that all studies were essentially identical, in identical ...
- 35.2k
3
votes
Accepted
Is there a method/package that combines multivariate and network meta-analysis?
You can conduct network meta-analyses also with metafor. See help(rma.mv) and see these examples:
https://wviechtb.github.io/...
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3
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Meta-analysis data from studies comparing the “ecological” effect of a policy when some communities are shared by different studies?
One of the points we like to teach is that you are not required to do a meta-analysis, but if you do, you need to justify undertaking one. In this case, you would have a very tough argument to ...
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2
votes
Accepted
Learning WinBUGS programming for network meta-analysis
I was in a similar situation like one year ago. And I had to learn NMA models and BUGS at the same time. However, I think better way is starting with pairwise meta-analysis (conventional meta-analysis)...
2
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Network Meta-Analysis: Single Arm vs Contrasts Strategy Pros and Cons
I will answer your questions labelled as you have them
(a) there is no statistical reason for excluding cohort studies from your analysis but there might be substantive reasons if they are performed ...
- 18.4k
2
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Network meta-analysis of diagnostic test accuracy studies
How you do your network meta-analysis in R will depend on the nature of your input data, number of competing diagnostic tests being compared in each study, whether or not you have any covariate ...
- 20.9k
2
votes
Accepted
Network Meta-analysis with poisson regression
Yes, a network meta-analysis is quite general and can be applied to any probability model including Poisson. The underlying assumption is that multiple interventions have been applied to different ...
- 3,000
2
votes
Accepted
Network meta-analysis of correlation coefficients: a logical paradox?
There are two points to comment on. Note that correlation coefficients do not measure differences, but agreement.
It is also right that correlation coefficients per se are not transitive. Of course ...
- 36
1
vote
Meta-analysis based on cohort studies only
Do you have raw individual data with 0/1 responses in each study? If so, you can use each study as a group indicator in random intercepts and slopes in binary regression with mixed effects. If the ...
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1
vote
Accepted
Completely different inferences between single-trial difference and meta-analysis comparison
The model you are using is a random-effects model that allows for heterogeneity. But with two studies included in the analysis (study A is not even included, since it only has a single arm), there is ...
- 17.9k
1
vote
Network meta analysis without standard deviations
Using the ratio of means implies a very different effect measure than Cohen's D or some other difference in absolute values. That does not necessarily mean it's bad, but simply that you think that e.g....
- 35.2k
1
vote
Simultaneous network meta-analysis for multiple treatments and outcomes
All the NMAs I have done have been within a Bayesian framework, so I may be wrong here but I believe the frequentist implementations already use a multivariate framework in order to estimate the ...
- 445
1
vote
Network-Meta Analysis of Observational Studies
The primary issues are the same as in observational meta-analyses, the exchangeability of subjects within studies between the treatment groups as well as differences between studies in what they ...
- 156
1
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Meta-analysis for complex data with many treatments (and often no controls)?
For a start, you ideally need meaningful comparisons of methods within studies. Otherwise, I'm not sure there is much you can do. That's because studies probably differ so much that when any methods ...
- 35.2k
1
vote
Accepted
Is it possible to have exactly identical output of random effects and fixed effect models in a network meta-analysis?
Firstly, it is pretty dubious to exclude studies, because their results mismatch your model. If the studies fit all your inclusion criteria, I suspect many people will feel uncomfortable about ...
- 35.2k
1
vote
Accepted
Reference request: initializing big neural networks with small neural networks
This paper, its bibliography, and the papers citing this paper will be a good coverage of the topic.
Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle. "Greedy Layer-Wise Training of Deep ...
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1
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INDIRECT COMPARISONS
Comparing the odds ratios vs., say, a placebo is effectively a network meta analysis. It is simply one with extra many unverifiable and likely partially unreasonable assumptions. E.g. differences in ...
- 35.2k
1
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Network meta-analysis of correlation coefficients: a logical paradox?
Check "Exploring the use of network meta-analysis in education: examining the correlation between ORF and text complexity measures", this is closely correlated.
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1
vote
Accepted
P value out of pairwise random effects network meta analysis
P values can be derived by n.compl$pval.random
- 119
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Is there a frequentist approach to Lu & Ades network meta-analysis model?
YES, there is a metafor solution for such a problem.
However, since you are interested in network meta-analysis techniques, I want to point out some other references, since NMA is very active topic ...
- 51
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Is there any meaningfully robust approach to conduct a network meta-analysis of diagnostic test accuracy studies?
So this does not go unanswered here, based on comments from @GGA and from the OP's further research, are some references which the OP edited into the question as an update.
Upon feedback from GGA ...
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1
vote
Accepted
Multilevel Meta-analysis with several treatments
In the years since this question was asked theory and practice have advanced and the current answer would be that this is an example of network meta-analysis also known as multi-treatment comparison. ...
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