title: Statistical modeling of dose-response relationships in clinical trials--a case study.
abstract: This paper presents a model-based assessment of the relationship between the dose of a test treatment and response. The data set used in the analysis describes the results of two clinical trials that were designed to assess the dose-response relationship of a test treatment. The models described in the paper are fit using weighted regression as implemented by the SAS procedure CATMOD. Relationships between weighted regression and other similar procedures are discussed.
authors.affiliation: Genentech, Inc., South San Francisco, California 94080-4990, USA.
authors.forename: E B
authors.initials: EB
authors.lastname: Holmgren
authors.forename: G G
authors.initials: GG
authors.lastname: Koch
mesh_terms: D000924:Anticholesteremic Agents / Q000627:therapeutic use; D002784:Cholesterol / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D004305:Dose-Response Relationship, Drug; D015233:Models, Statistical; D015999:Multivariate Analysis; D011897:Random Allocation; D012044:Regression Analysis
chemical_list: D000924:Anticholesteremic Agents; D008078:Cholesterol, LDL; D002784:Cholesterol