2024
Perioperative Modified FOLFIRINOX for Resectable Pancreatic Cancer
Cecchini M, Salem R, Robert M, Czerniak S, Blaha O, Zelterman D, Rajaei M, Townsend J, Cai G, Chowdhury S, Yugawa D, Tseng R, Arbelaez C, Jiao J, Shroyer K, Thumar J, Kortmansky J, Zaheer W, Fischbach N, Persico J, Stein S, Khan S, Cha C, Billingsley K, Kunstman J, Johung K, Wiess C, Muzumdar M, Spickard E, Aushev V, Laliotis G, Jurdi A, Liu M, Escobar-Hoyos L, Lacy J. Perioperative Modified FOLFIRINOX for Resectable Pancreatic Cancer. JAMA Oncology 2024, 10: 1027-1035. PMID: 38900452, PMCID: PMC11190830, DOI: 10.1001/jamaoncol.2024.1575.Peer-Reviewed Original ResearchProgression-free survivalPancreatic ductal adenocarcinomaOverall survivalCtDNA levelsPhase 2 nonrandomized controlled trialAnalysis of circulating tumor DNAMedian progression-free survivalResectable pancreatic ductal adenocarcinomaControlled trialsAssess surgical candidacyBaseline ctDNA levelModified 5-fluorouracilResectable pancreatic cancerPancreatic protocol computed tomographyAssociated with recurrenceTumor molecular featuresAggressive malignant tumorKaplan-Meier estimatesRandomized clinical trialsStandard of careCtDNA-positivePreoperative cyclesNonrandomized controlled trialsUnresectable diseaseModified FOLFIRINOXDistributions and Their Approximations for p-Values
Zhou N, Blaha O, Zelterman D. Distributions and Their Approximations for p-Values. 2024, 481-509. DOI: 10.1007/978-3-031-65937-9_16.Peer-Reviewed Original ResearchDistribution of p-valuesStudent-t distributionTesting multiple hypothesesT-distributionAlternative distributionsIdentified hypothesisSimulation studySignificant hypothesesDependent samplesApproximationAlternative hypothesisP-valueLack of independenceMultiple hypothesesExamplesIterationMultiplicationDistributionEstimationA Bayesian platform trial design with hybrid control based on multisource exchangeability modelling
Wei W, Blaha O, Esserman D, Zelterman D, Kane M, Liu R, Lin J. A Bayesian platform trial design with hybrid control based on multisource exchangeability modelling. Statistics In Medicine 2024, 43: 2439-2451. PMID: 38594809, PMCID: PMC11325877, DOI: 10.1002/sim.10077.Peer-Reviewed Original Research
2022
Bayesian local exchangeability design for phase II basket trials
Liu Y, Kane M, Esserman D, Blaha O, Zelterman D, Wei W. Bayesian local exchangeability design for phase II basket trials. Statistics In Medicine 2022, 41: 4367-4384. PMID: 35777367, PMCID: PMC10279458, DOI: 10.1002/sim.9514.Peer-Reviewed Original ResearchRegression methods for the appearances of extremes in climate data
Yu C, Blaha O, Kane M, Wei W, Esserman D, Zelterman D. Regression methods for the appearances of extremes in climate data. Environmetrics 2022, 33 DOI: 10.1002/env.2764.Peer-Reviewed Original Research
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