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Statistics in Medicine|April 16, 2015
Leveraging prognostic baseline variables to gain precision in randomized trialsElizabeth Colantuoni, Michael RosenblumBiometrics|November 18, 2015
Enhanced precision in the analysis of randomized trials with ordinal outcomesIván Díaz, Elizabeth Colantuoni, Michael RosenblumContemporary Clinical Trials Communications|April 27, 2018
Sensitivity of adaptive enrichment trial designs to accrual rates, time to outcome measurement, and prognostic variablesTianchen Qian, Elizabeth Colantuoni, Aaron Fisher, et al.Lifetime Data Analysis|September 6, 2019
Correction to: Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazardsIván Díaz, Elizabeth Colantuoni, Daniel F Hanley, et al.Lifetime Data Analysis|March 2, 2018
Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazardsIván Díaz, Elizabeth Colantuoni, Daniel F Hanley, et al.Contemporary Clinical Trials Communications|May 9, 2018
Genomic and clinical predictors for improving estimator precision in randomized trials of breast cancer treatmentsPrasad Patil, Elizabeth Colantuoni, Jeffrey T Leek, et al.Chaos (Woodbury, N.Y.)|October 2, 2020
Controlling collective synchrony in oscillatory ensembles by precisely timed pulsesMichael RosenblumFrontiers in Network Physiology|February 19, 2024
Feedback control of collective dynamics in an oscillator population with time-dependent connectivityMichael RosenblumJournal of Statistical Planning and Inference|September 20, 2016
Uniformly Most Powerful Tests for Simultaneously Detecting a Treatment Effect in the Overall Population and at Least One SubpopulationMichael RosenblumBiometrical Journal. Biometrische Zeitschrift|April 5, 2013
Confidence intervals for the selected population in randomized trials that adapt the population enrolledMichael RosenblumPageof 30