2025
Robust sparse Bayesian regression for longitudinal gene–environment interactions
Fan K, Jiang Y, Ma S, Wang W, Wu C. Robust sparse Bayesian regression for longitudinal gene–environment interactions. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2025, qlaf027. DOI: 10.1093/jrsssc/qlaf027.Peer-Reviewed Original ResearchCancer Prevention StudyGene-environment interactionsVariable selectionSpike-and-slab priorsGene-environmentIntra-cluster correlationBayesian variable selectionPrevention StudyMeasured body weightMeasures analysisLongitudinal studyPosterior inferenceGibbs samplerMCMC algorithmInteraction effectsStructured sparsityMixed modelsGenetic factorsExtensive simulationsFast computationPhenotypic measurementsInter-relatednessLongitudinal observationsANOVAInteraction problems
2024
REDOMA: Bayesian random‐effects dose‐optimization meta‐analysis using spike‐and‐slab priors
Yang C, Kwiatkowski E, Lee J, Lin R. REDOMA: Bayesian random‐effects dose‐optimization meta‐analysis using spike‐and‐slab priors. Statistics In Medicine 2024, 43: 3484-3502. PMID: 38857904, PMCID: PMC11789924, DOI: 10.1002/sim.10107.Peer-Reviewed Original ResearchConceptsOptimal biological doseDose-efficacy curveDose efficacyPhase I/II trialMeta-analysisOncology trialsSpike-and-slabMultiple phase IDose-toxicity relationshipPrecision cancer treatmentEarly-phase oncology trialsOncological therapyBiological doseEfficacy dataSpike-and-slab priorsTreatment efficacyCancer treatmentExtensive simulation studyTrialsEfficacyBayesian model selection frameworkTreatmentPhase IDoseGamma process
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