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
2013
Bayesian shrinkage methods for partially observed data with many predictors
Boonstra P, Mukherjee B, Taylor J. Bayesian shrinkage methods for partially observed data with many predictors. The Annals Of Applied Statistics 2013, 7: 2272-2292. PMID: 24436727, PMCID: PMC3891514, DOI: 10.1214/13-aoas668.Peer-Reviewed Original ResearchFraction of missing informationOptimal bias-variance tradeoffBayesian shrinkage methodsEmpirical Bayes algorithmComprehensive simulation studyBias-variance tradeoffSurrogate covariatesSimulation studyShrinkage methodCovariatesPrediction problemState-of-the-artModel parametersProblemMissing dataLung cancer datasetBayes algorithmState-of-the-art technologiesArray technologyCancer datasetsQRT-PCR