A comparison of Bayesian and frequentist methods in random‐effects network meta‐analysis of binary data

The performance of statistical methods is often evaluated by means of simulation studies. In case of network meta‐analysis of binary data, however, simulations are not currently available for many practically relevant settings. We perform a simulation study for sparse networks of trials under betwee...

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Vydáno v:	Research synthesis methods Ročník 11; číslo 3; s. 363 - 378
Hlavní autoři:	Seide, Svenja E., Jensen, Katrin, Kieser, Meinhard
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England 01.05.2020
Témata:	Algorithms Bayes Theorem Bayesian and frequentist methods Bias binary data Computer Simulation Data Interpretation, Statistical Humans multi‐arm trials Network Meta-Analysis As Topic network meta‐analysis random‐effects model Research Design simulation study Software binary data Bayesian and frequentist methods multi-arm trials network meta-analysis random-effects model simulation study
ISSN:	1759-2879, 1759-2887, 1759-2887
On-line přístup:	Získat plný text
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