Hedges, L.V. (1998). Bayesian meta-analysis. In Statistical Analysis of Medical Data: New Developments (eds. B. Everitt and G. Dunn), Arnold, New York, pp. 251-276.Pitchforth, J. O., & Mengersen, K. L. (2013). Bayesian meta- analysis. In C. L. Alston, K. L. Mengersen, ...
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Bayesian meta‐analysis meta‐analysis, estimates on outcome of interest Bayesian meta‐analysis, flexible modelling framework breast cancer, meta‐analysis of red meat iron content random effects model, and exchangeability in studies fixed effects model, between‐study variance tending to infinity multi‐...
Bayesian meta-analysis of time to benefit W. John Boscardin Departments of Medicine and Epidemiology & Biostatistics University of California, San Francisco July 20, 2023 Co-authors and Acknowledgements ▶ Co-authors ▶ Irena Cenzer ▶ Sei Lee ▶ Matthew Growdon ▶ James Deardorff ▶ ...
(RR) of 0.67. Statistical prior distributions were specified to represent varying levels of preexisting enthusiasm or skepticism for ECMO and by Bayesian meta-analysis of previously published studies (with downweighting to account for...
meta-analysisSROC curveLyle D BroemelingBroemeling amp;amp; Associates Inc, Medical Lake, WA, USAAbstract: Determining the accuracy of a medical test is quite difficult because accuracy is an elusive parameter to estimate. A common scenario is estimating the true and false positive fractions from...
Open Access Medical Statistics Dovepress open access to scientific and medical research Open Access Full Text Article O r i g i n al R e s e a r c h Bayesian meta-analysis for test accuracy Lyle D Broemeling Broemeling & Associates Inc, Medical Lake, WA, USA Correspondence: Lyle D ...
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Zhang Z, Jiang K, Liu H (2013a). "Bayesian Meta-Analysis of Correlation Coefficients through Power Prior." arXiv:1401.2054 [stat.ME], URL http://arxiv.org/abs/1401.2054.Z. Zhiyong, J. Kaifeng and L. Haiyan. (2014). Bayesian Meta- Analysis of Correlation Coefficients through Power ...
With the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis of microarrays include either combining gene expression measures across studies or com