This comprehensive reference covers all aspects of drug combination research, from designing in vitro drug combination studies to analyzing clinical trial data. Featuring contributions from researchers in industry, academia, and regulatory agencies, this balanced text provides researchers with a solid understanding of the available statistical methods and computational tools and how to apply them in drug combination studies. The book is equally useful for statisticians to become better equipped to deal with drug combination study design and analysis in their practice.
Inhaltsverzeichnis
Drug Combination: Much Promise and Many Hurdles. Drug Combination Synergy. Drug Combination Design Strategies. Confidence Interval for Interaction Index. Two-Stage Response Surface Approaches to Modeling Drug Interaction. A Bayesian Industry Approach to Phase I Combination Trials in Oncology. Statistical Methodology for Evaluating Combination Therapy in Clinical Trials. Challenges and Opportunities in Analysis of Drug Combination Clinical Trial Data. Software and Tools to Analyze Drug Combination Data.
