Biostatistics in Clinical Trials

A unique overview that melds the concepts of conditional probability and stochastic processes into real-life applications
The role of randomization techniques in clinical trials has become increasingly important. This comprehensive guide combines both the applied aspects of randomization in clinical trials with a probabilistic treatment of properties of randomization. Taking an unabashedly non-Bayesian and nonparametric approach to inference, the book focuses on the linear rank test under a randomization model, with added discussion on likelihood-based inference as it relates to sufficiency and ancillarity. Developments in stochastic processes and applied probability are also given where appropriate. Intuition is stressed over mathematics, but not without a clear development of the latter in the context of the former.

Mastering Statistical Design and Analysis for Clinical Trial Validity

by Jay Herson (Author)

Statistics, biostatistics, clinical trials, data analysis in medicine.

Statistics, biostatistics, clinical trials, data analysis in medicine.