In recent years numerous meta-regression models for benefit transfer in the context of environmental quality changes have been proposed by the academic literature and used by government agencies for policy makin
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, ...
The results presented here show that the proposed Bayesian meta-regression approach is feasible and produces plausible results which do not contradict the bulk of evidence regarding the shape of the distribution of average alcohol consumption among drinkers and the variation of consumption patterns with ...
values are parameters to be optimized. Hence, a modification of Bayesian networks in order to handle continuous variables is an important problem in the gene network estimation problem. A possible solution of this problem is given by using the nonparametric regression introduced in the next section....
Linear regression, as a versatile tool, empowers professionals in marketing, finance, healthcare, retail, to name a few, to make data-driven decisions, optimize strategies, and improve overall performance. The significance of causal estimation lies in its ability to guide interventions, enhance ...
. . . . Bayesian model averaging for linear regression 26 bmacoefsample . . . . . . . . . . . . . . . . . . . . . . . . . . . . Posterior samples of regression coefficients 112 BMA postestimation . . . . . . . . . . . . . . . . . . Postestimation tools ...
Individual-level Bayesian regression models (1) with a prior on SNP effect sizes can often be approximated using an external LD reference panel and turned into summary statistics based methods4,6,21,22. Here we enable posterior inference of SNP effect sizes from GWAS summary statistics under cont...
Note that we do not take this example to refute the effectiveness of accuracy nudges in general, as this would require a broader reanalysis of all relevant papers (e.g., Martel et al., 2024; Pennycook et al., 2020) using meta-analytic techniques, which is outside the scope of the ...
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 curve (Horsthuis et al8 meta- ...