Main description:

All new medicines and devices undergo early phase trials to assess,interpret and better understand their efficacy, tolerability andsafety. An Introduction to Statistics in Early Phase Trialsdescribes the practical design and analysis of these importantearly phase clinical trials and provides the crucial statisticalbasis for their interpretation. It clearly and concisely providesan overview of the most common types of trials undertaken in earlyphase clinical research and explains the different methodologiesused. The impact of statistical technologies on clinicaldevelopment and the statistical and methodological basis for makingclinical and investment decisions are also explained.
* Conveys key ideas in a concise manner understandable bynon-statisticians * Explains how to optimise designs in a constrained or fixedresource setting * Discusses decision making criteria at the end of Phase IItrials * Highlights practical day-to-day issues and reporting of earlyphase trials An Introduction to Statistics in Early Phase Trials is anessential guide for all researchers working in early phase clinicaltrial development, from clinical pharmacologists andpharmacokineticists through to clinical investigators and medicalstatisticians. It is also a valuable reference for teachers andstudents of pharmaceutical medicine learning about the design andanalysis of clinical trials.

Contents:

Chapter 1 Early phase trials Chapter 2 Introduction to pharmacokinetics Chapter 3 Sample size calculations for clinical trials Chapter 4 Crossover trial basics Chapter 5 Multi-period crossover trials Chapter 6 First time into man Chapter 7 Bayesian and frequentist methods Chapter 8 First-time-into-new-population studies Chapter 9 Bioequivalence studies Chapter 10 Other Phase I trials Chapter 11 Phase II trials: general issues Chapter 12 Dose response studies Chapter 13 Phase II trials with toxic therapies Chapter 14 Interpreting and applying early phase trialresults Chapter 15 Go/No-Go criteria Appendix References Index