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Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects

Oleksandr Sverdlov
July 01, 2018

Is adaptive randomization always better than traditional fixed-schedule randomization? Which procedures should be used and under which circumstances? What special considerations are required for adaptive randomized trials? What kind of statistical inference should be used to achieve valid and...

Probability Foundations for Engineers

Joel A. Nachlas
June 28, 2018

Suitable for a first course in probability theory and designed specifically for industrial engineering and operations management students, Probability Foundations for Engineers covers theory in an accessible manner and includes numerous practical examples based on engineering applications....

Derivative Pricing: A Problem-Based Primer

Ambrose Lo
June 27, 2018

The proliferation of financial derivatives over the past decades, options in particular, has underscored the increasing importance of derivative pricing literacy among students, researchers, and practitioners. Derivative Pricing: A Problem-Based Primer demystifies the essential derivative pricing...

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Momiao Xiong
June 19, 2018

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the genetic architecture of complex diseases by...

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R

Jianrong Wu
June 18, 2018

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R provides a thorough presentation of the principles of designing and monitoring cancer clinical trials in which time-to-event is the primary endpoint. Traditional cancer trial designs with...

The Beauty of Mathematics in Computer Science

Jun Wu
June 15, 2018

The Beauty of Mathematics in Computer Science explains the mathematical fundamentals of information technology products and services we use every day, from Google Web Search to GPS Navigation, and from speech recognition to CDMA mobile services. The book was published in Chinese in 2011 and has...

An Introduction to Computational Risk Management of Equity-Linked Insurance

Runhuan Feng
June 12, 2018

The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in...

Statistics for Biotechnology Process Development

Todd Coffey, Harry Yang
June 05, 2018

Written specifically for biotechnology scientists, engineers, and quality professionals, this book describes and demonstrates the proper application of statistical methods throughout Chemistry, Manufacturing, and Controls (CMC). Filled with case studies, examples, and easy-to-follow explanations of...

Bayesian Methods for Repeated Measures

Lyle D. Broemeling
June 01, 2018

Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many inferential methods for...

Exploratory Data Analysis Using R

Ronald K. Pearson
May 29, 2018

Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to...

Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition

Andrew B. Lawson
May 24, 2018

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in...

Graphics for Statistics and Data Analysis with R

Kevin J. Keen
May 18, 2018

Praise for the First Edition "The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is...

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