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
2010
A review of statistical methods for testing genetic anticipation: looking for an answer in Lynch syndrome
Boonstra P, Gruber S, Raymond V, Huang S, Timshel S, Nilbert M, Mukherjee B. A review of statistical methods for testing genetic anticipation: looking for an answer in Lynch syndrome. Genetic Epidemiology 2010, 34: 756-768. PMID: 20878717, PMCID: PMC3894615, DOI: 10.1002/gepi.20534.Peer-Reviewed Original ResearchConceptsAffected parent-child pairsDanish HNPCC registerParent-child pairsLynch syndromePaired t-testGenetic anticipationLynch syndrome cohortCancer genetics clinicsT-testEvidence of genetic anticipationFamily membersClinic-based populationRandom-effects modelGenetics clinicAffected pairsMismatch repairUnaffected family membersFamilial correlationsAffected parentType I errorSyndrome cohortRegression modelsPedigree dataDecreasing ageAscertainment