We propose a novel Bayesian (meta‐)regression model for binary outcomes on the additive risk scale. The model allows treatment effects, covariate effects, interactions and variance parameters to be estimated directly on the linear scale of clinical interest. We compared effect estimates from this ...
The proposed meta-regression is formulated by jointly modeling the association parameters and the functional meta-predictors using Dirichlet process (DP) or local DP mixtures. In doing so, the functional meta-predictors are represented parsimoniously by the coefficients of the orthonormal basis. The ...
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, ...
Incidence and prevalence estimates of provision of maintenance dialysis from this database were updated using a negative binomial Bayesian meta-regression tool ... Bernadette,Thomas,Sarah,... - 《Journal of the American Society of Nephrology Jasn》 被引量: 78发表: 2015年 Nuclear power plant compon...
Simple nested Bayesian hypothesis testing for meta-analysis, Cox, Poisson and logistic regression models 来自 Springer 喜欢 0 阅读量: 5 作者: Klaus Rostgaard 摘要: Many would probably be content to use Bayesian methodology for hypothesis testing, if it was easy, objective and with trustworthy ...
This will be done using the following bilogistic regression model for the meta-analysis of one test: ∑ i=k B = β [1] + β [2]S + ηi Xi , (12) i =1 1.0 0.9 0.8 0.7 TPR2 0.6 FPR2 TPR1 0.5 FPR1 0.0 0.1 0.2 0.3 0.4 Figure 3 Summary receiver operating characteristic ...
The p value of the Egger's regression intercept was > 0.05. When analyses were repeated after removing the study of Yoosefi et al.12 (only MDD patients contrary to the two other studies which included MDD and BD), a non-significant OR of 0.617 (95% CI 0.208; 1.828, p = ...
convergence was assessed by posterior predictive checks and the R-hat values of the parameter estimates. Based on the obtained Bayesian model, we calculated the exact probabilities that the meta-analytic effect will be smaller/larger than a given effect size value by looking at the empirical cumula...
People suffering from dysphoria retrieve autobiographical memories distorted in content and affect, which may contribute to the aetiology and maintenance of depression. However, key memory difficulties in dysphoria remain elusive because theories disagre
Using several breast cancer-specific datasets, we demonstrated the effectiveness of Bayesian network modeling in biological meaningful signal discovery, in comparison with methods of linear regression. Potentially, Bayesian inference can be used to infer dynamic GRN during cell differentiation using new ...