Medical Statistics & Computing

Focuses on analytical similarity assessment in biosimilar product development following the FDA’s recommended stepwise approach for obtaining totality-of-the-evidence for approval of biosimilar products. It will cover current issues, and recent development in analytical similarity assessment...

This book is the first to focus on Bayesian phase I–II clinical trials. It describes many problems with the conventional phase I–phase II paradigm and covers a large number of modern Bayesian phase I–II clinical trial designs...

Biostatistics for Epidemiologists..

This book is written by clinicians, for clinicians. It takes the reader step by step through the process of critical appraisal so that any journal article can be easily read, evidence evaluated and the results - and their reliability - truly understood. Suitable for undergraduates and postgraduates ..

Using object-oriented design and programming techniques in C++, this book explores the commonalities of all data clustering algorithms to create a flexible set of reusable classes that simplifies the implementation of any data clustering algorithm. The first part of the text reviews basic concepts o..

This book offers statistical guidance on conducting clinical trials for predictive medicine. It covers statistical topics relevant to the main clinical research phases for developing molecular diagnostics and therapeutics. The book explains how to identify molecular biomarkers using DNA microarrays,..

The increased use of non-inferiority analysis has been accompanied by a proliferation of research on the design and analysis of non-inferiority studies. Design and Analysis of Non-Inferiority Trials brings together this body of research and confronts the issues involved in the design of a non-inferi..

With numerous exercises and a CD-ROM of data sets and computing code, this lucid introduction explores Bayesian principles and illustrates their application to healthcare research. It reviews the interesting and controversial history of the Bayesian concept and enables a balanced comparison of Bayes..

Accessible to nonspecialists, this book explains the basic ideas in frailty modeling and statistical techniques, with a focus on real data application and interpretation of the results. It extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes c..

Written by experts from industry and academia around the world, this book focuses on electrical engineering and elaborates on how electrical circuits interface with biology, microfluidics, and photonics. Including only light math and physics, with greater focus on explanation, it covers integrated d..

A practical guide for biomedical researchers, clinicians, biostatisticians, and graduate students in biostatistics, this volume covers the latest developments in the analysis and modeling of interval-censored time-to-event data. Top researchers from academia, biopharmaceutical industries, and govern..

This text provides a solid understanding of the various statistical topics relevant to the design, monitoring, and analysis of a clinical trial. It covers basic experimental design, sample size, randomization procedures, interim and survival analyses, quality of life assessment, and longitudinal met..