title: Two-stage designs for the logistic regression model in single-agent bioassays.
abstract: In this paper we focus on the use of a two-stage procedure for logistic regression that emphasizes predicting response through the use of the Q-optimality criterion. The use of D-optimality in the first stage is primarily to allow best possible parameter estimates as one enters the second stage. However, it is important to understand that there are many ways to formulate the two-stage procedure. It may involve any optimality criterion in either stage. In fact, theoretically, one need not stop at two stages. It was our intention in this paper to demonstrate the potential in the two-stage procedure in cases in which good initial parameter estimates are not available. Those investigators who are interested in the software for the two-stage procedure described here should contact Dr. William R. Myers.
authors.affiliation: Department of Biometrics and Statistical Sciences, Procter & Gamble Company, Cincinnati, Ohio 45241-2422, USA.
authors.forename: W R
authors.initials: WR
authors.lastname: Myers
authors.forename: R H
authors.initials: RH
authors.lastname: Myers
authors.forename: W H
authors.initials: WH
authors.lastname: Carter
authors.forename: K L
authors.initials: KL
authors.lastname: White
mesh_terms: D000818:Animals; D003627:Data Interpretation, Statistical; D004305:Dose-Response Relationship, Drug; D004353:Drug Evaluation, Preclinical / Q000379:methods; D008432:Mathematical Computing; D015233:Models, Statistical; D010600:Pharmacology / Q000379:methods*; D012044:Regression Analysis; D012107:Research Design