2017
Complete hazard ranking to analyze right-censored data: An ALS survival study
Huang Z, Zhang H, Boss J, Goutman S, Mukherjee B, Dinov I, Guan Y, . Complete hazard ranking to analyze right-censored data: An ALS survival study. PLOS Computational Biology 2017, 13: e1005887. PMID: 29253881, PMCID: PMC5749893, DOI: 10.1371/journal.pcbi.1005887.Peer-Reviewed Original Research
2012
Incorporating auxiliary information for improved prediction in high-dimensional datasets: an ensemble of shrinkage approaches
Boonstra P, Taylor J, Mukherjee B. Incorporating auxiliary information for improved prediction in high-dimensional datasets: an ensemble of shrinkage approaches. Biostatistics 2012, 14: 259-272. PMID: 23087411, PMCID: PMC3590922, DOI: 10.1093/biostatistics/kxs036.Peer-Reviewed Original ResearchConceptsHigh-dimensional datasetsAuxiliary informationRidge estimatorBayesian alternativeOutcome YSimulation studyEstimates of BShrinkage approachBiological processesRidge regressionGene expression datasetsDatasetGenomic technologiesMicroarray technologyOptimal choiceBalance efficiencyX.EstimationPrediction errorPolymerase chain reactionBiological phenomenaInformationTechnologyQuantitative real-time polymerase chain reaction