title: Optimal two-stage randomized multinomial designs for Phase II oncology trials.
abstract: A new two-stage design is proposed that is suitable for early detection of the anticancer activity of experimental therapies in Phase II oncology trials. The endpoints of interest are response rate and early progression rate. The anticancer activity is defined by a positive signal in one endpoint and a non-negative signal in the other endpoint. The two endpoints are modeled by the multinomial distribution. The design is optimal in that it minimizes the patient exposure when the experimental therapies are inactive. The design parameters are found by a grid searching algorithm under type I and type II error rate constraints. Examples of the design are also presented in this paper.
authors.affiliation: Biostatistics and Research Decision Sciences, Merck Research Laboratories, Upper Gwynedd, PA 19454, USA. linda_sun@merck.com
authors.forename: Linda Z
authors.initials: LZ
authors.lastname: Sun
authors.forename: Cong
authors.initials: C
authors.lastname: Chen
authors.forename: Kamlesh
authors.initials: K
authors.lastname: Patel
mesh_terms: D000465:Algorithms; D017322:Clinical Trials, Phase II as Topic / Q000379:methods*; D003661:Decision Support Techniques; D023381:Endpoint Determination; D006801:Humans; D008495:Medical Oncology; D016032:Randomized Controlled Trials as Topic / Q000379:methods*; D012107:Research Design