Robust Bayesian Meta-Analysis (RoBMA) This package estimates an ensemble of meta-analytic models (assuming either the presence or absence of effect, heterogeneity, and publication bias) and uses Bayesian model averaging to combine them. The ensemble uses Bayes factors to test for the presence of ...
A robust Bayesian meta-analytic approach to incorporate animal data into phase I oncology trialsdoi:10.1177/0962280218820040Haiyan ZhengLisa Victoria HampsonSimon WandelNewcastle University
correlationrobusttidystatistical-testsbayesian-inferencemeta-analysisparametricbayesian-statisticscontingency-tablerobust-statisticseffectsizestatistical-details UpdatedMay 9, 2025 R sourcefrog/conserve Sponsor Star275 Code Issues Pull requests Discussions 🌲 Robust file backup tool in Rust ...
genomicdatahavebeenproposedsuchastheBayesiannetworks (Troyanskayaetal.,2003)andtheKernelmethods(Bieetal., 2007).Inthiswork,welimitourselvestothesituationwhereall thedatasourcesarerepresentedasprioritized lists of genes. This is ∗ To whom correspondence should be addressed. a very natural way to represe...
Prior sensitivity analysis for causal inference has been a topic of interest lately. Zaffalon et al. [16] used credal networks in structured causal models for causal inference; Raices Cruz et al. [17] performed a meta analysis in a robust Bayesian framework for causal effect estimation. However...
Fig. 5: Scientific achievements and costs for discovery-oriented research, using Bayesian analysis. ashows the cost (total number of experiments conducted) to generate the knowledge (true effects discovered) shown inb. Temperature refers to the temperature of the logistic decision function (Methods ...
M. Multilevel linear modelling for FMRI group analysis using Bayesian inference. Neuroimage 21, 1732–1747 (2004). Article PubMed Google Scholar Smith, S. M. et al. Resting-state fMRI in the Human Connectome Project. Neuroimage 80, 144–168 (2013). Article PubMed Google Scholar Barch,...
Genkin, A., Lewis, D.D., Madigan, D.: Large-scale bayesian logistic regression for text categorization. Technometrics 49(3), 291–304 (2007) MathSciNet Google Scholar Geoffrey, C., Guillaume, L., Matthieu, L.: Robust high dimensional learning for Lipschitz and convex losses. J. Mach....
correlation robust tidy statistical-tests bayesian-inference meta-analysis parametric bayesian-statistics contingency-table robust-statistics effectsize statistical-details Updated 15 days ago R Enigma-li / SketchCNN Star 82 Code Issues Pull requests Robust freeform surface modeling from user 2d sketc...
A resource-efficient tool for mixed model association analysis of large-scale data. Nat. Genet. 51, 1749–1755 (2019). Article CAS PubMed Google Scholar Loh, P.-R. et al. Efficient bayesian mixed-model analysis increases association power in large cohorts. Nat. Genet. 47, 284–290 (...