Bayesian estimation in random effects meta-analysis using a non-informative prior.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7156
Abstract: Pooling information from multiple, independent studies (meta-analysis) adds great value to medical research. Random effects models are widely used for this purpose. However, there are many different ways of estimating model parameters, and the choice… read more here.
Keywords: analysis; non informative; random effects; bayesian estimation ... See more keywords
Bayesian comparison of diagnostic tests with largely non-informative missing data
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DOI: 10.1080/00949655.2019.1601726
Abstract: ABSTRACT This work was motivated by a real problem of comparing binary diagnostic tests based upon a gold standard, where the collected data showed that the large majority of classifications were incomplete and the feedback… read more here.
Keywords: bayesian comparison; largely non; diagnostic tests; non informative ... See more keywords
Variance reduction using a non-informative sampling design
Sign Up to like & getrecommendations! Published in 2017 at "Statistical journal of the IAOS"
DOI: 10.3233/sji-170358
Abstract: Official Statistics commonly conducts sample surveys to produce estimates of aggregate statistics with a desired level of precision. For this purpose, design-based methods are used which are suitable for the estimation of finite population quantities… read more here.
Keywords: sampling design; design based; non informative; informative sampling ... See more keywords