In this article, we propose a Bayesian network meta‐regression hierarchical model and assume a general multivariate t distribution for the random treatment effects. The multivariate t distribution is desired for heavy‐tailed random effects and converges to the multivariate normal distribution when the ...
Motivated by these limitations, our research proposes a nonparametric Bayesian meta-regression which relaxes parametric assumptions and incorporates functional meta-predictors and spatial dependency. The proposed meta-regression is formulated by jointly modeling the association parameters and the functional meta...
53 国际基础科学大会-A quasi-dynamic system representation of multiple nonlinear regression 1:01:30 国际基础科学大会-Locally symmetric varieties with moduli interpretation-Chenglong Yu 1:01:43 国际基础科学大会-Equivariant K-theory realization of the affine i-quantum group 1:04:02 国际基础科学大会-A...
Multivariate meta-regression models are commonly used in settings where the response variable is naturally multidimensional. Such settings are common in cardiovascular and diabetes studies where the goal is to study cholesterol levels once a certain medication is given. In this setting, the natural mult...
An Indirect Treatment Comparison of Semaglutide 2.0 mg vs Dulaglutide 3.0 mg and 4.5 mg Using Multilevel Network Meta-regression multilevel network meta regressionAIMS. Currently, no head-to-head data are available comparing semaglutide 2.0 mg with dulaglutide 3.0 mg or 4.5 mg. We... L Ildiko,...
Strategy We applied bayesian meta-regression methods10 to multiple data sources with the goal of producing estimates of the prevalence and uncertainty interval of visual acuity loss or blindness, stratified by age group, sex, race/ethnicity, and state (50 US states and Washington, DC) for the ...
We empirically demonstrate that DKT outperforms several state-of-the-art algorithms in few-shot classification, and is the state of the art for cross-domain adaptation and regression. We conclude that complex meta-learning routines can be replaced by a simpler Bayesian model without loss of ...
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...
Time to benefit for colorectal cancer screening: survival meta-analysis of flexible sigmoidoscopy trials. BMJ ▶ Vittinghoff E, Glidden DV, Shiboski SC, McCulloch CE (2012). Regression methods in biostatistics: linear, logistic, survival, and repeated measures models. Springer ▶ Wei Y, ...
Vascular Endothelial Growth Factor +936C/T and +405G/C Polymorphisms and Cancer Risk: a Meta-analysis A number of investigators have studied the possible association between vascular endothelial growth factor (VEGF) polymorphisms and cancer risk, but the re... C Chao,JJ Fang,Y Tao,... - 《...