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(1989). Bayesian Meta-analysis. Statistical Methodology in the Pharmaceutical Sciences, Marcel Dekker, New York, 509-529.Schmid, C. H., & Mengersen, K. (2013). Bayesian meta-analysis. In J. Koricheva, J. Gurevitch & K. Mengersen (Eds.), The Handbook of Meta-Analysis in Ecology and...
原来是他的题目这样子的:Compare the efficacy and safety of five different chemotherapy drugs for xxx cancer: a Bayesian analysis, 去掉了meta, 领导看见没有meta二字,认为文章不是meta分析,就让他升职了。没有错,就这么简单。可见,一个好的题目是多么的重要。2016年好像重庆某大学发了学校历史上第一篇柳叶刀...
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...
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 ▶ ...
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 ...
(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...
Bayesian Network Meta-Analysis (gemtc) Im trying to conduct a NMA using the R package gemtc. I have three comparisons: A v D: MD: 119 (17.6) B v D: MD: 73 (23.98) C v D: MD: 92 (21.94) I am following an example code which appear to be functional:...
在网络荟萃分析(NMA)中,有必要纳入非随机证据来估计相对治疗效果,特别是在随机证据有限的情况下,有时会导致治疗网络断开。当组合不同的数据源时,需要复杂的NMA方法来解决与参与者选择偏差相关的问题,纳入单臂试验(SAT),并合成个体参与者数据(IPD)和聚合数据(AD)的混合物。我们开发了NMA方法,这些方法综合了来自SAT和...
Frequentist approach Classical methods are, usually based on algorithms using explicit formulas. main assumptions of the model results of studies (usually RCTs) Transformations of input data Results of Meta-analysis Bayesian approach Bayesian approach - wide range of flexible methods based on the ...