title: Experimental design for regression analysis when the responses are subject to censoring.
abstract: Experimental design issues are investigated for regression models with possibly censored responses, arising typically from pharmacokinetic or virus dynamic experiments. Examples are provided for both locally and Bayesian optimal designs. A case study in pharmacokinetics is provided.
authors.affiliation: TAP Pharmaceutical Products Inc., 675 North Field Drive, Lake Forest, IL 60045, United States. cong.han@tap.com
authors.forename: Cong
authors.initials: C
authors.lastname: Han
mesh_terms: D000465:Algorithms; D016477:Artifacts; D003198:Computer Simulation; D008954:Models, Biological; D015233:Models, Statistical; D010599:Pharmacokinetics; D012044:Regression Analysis; D012107:Research Design