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 ...
Accurate prediction of an individual's phenotype from their DNA sequence is one of the great promises of genomics and precision medicine. We extend a powerful individual-level data Bayesian multiple regression model (BayesR) to one that utilises summary statistics from genome-wide association studies...
A Bayesian network meta-analysis was performed to assess postoperative pain management, with subgroup analyses and meta-regression conducted to examine key factors influencing outcomes, such as the risk of bias, continuous catheter analgesia, and patient-controlled analgesia (PCA). Results The results ...
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, ...
VariableSubgroupStudies (n)ORa (95% CI)P value, I2Meta-regressionGradePublication bias, P value MMSEb (score) Overall (all activity control) N/Ac 3 1.557 (–0.459 to 3.572) <.001, 95.5%d —e Low 0.296, .37 Intervention type Xbox 360 1 4.606 (3.366-5.846) — 0.095f — — Interve...
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...
[30,31]such as linear regression,logistic regressionand ANOVA. Given this space of models, the rational approach to infer what parameter values are most credible is Bayesian. Therefore, cognitive scientists should use Bayesian methods for analysis of their empirical data. Advanced introductions can ...
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- ...