Statistics

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Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear

Emmanuel Gobet
August 01, 2016

Developed from the author’s course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear and nonlinear...

Data Analysis for the Life Sciences with R

Rafael A. Irizarry, Michael I. Love
July 25, 2016

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code...

Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis

Stephen L. George, Xiaofei Wang, Herbert Pang
July 18, 2016

Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis provides statisticians with an understanding of the critical challenges currently encountered in oncology trials. Well-known statisticians from academic institutions, regulatory and government agencies (such as the U.S....

Crop Breeding: Bioinformatics and Preparing for Climate Change

Santosh Kumar
July 15, 2016

This title includes a number of Open Access chapters. Climate change will severely impact the world’s food supply unless steps are taken to increase crop resilience. Otherwise, the negative effects on both the yield and the quality of crop plants are predicted to be immense. Plant genomics is a...

Reliability Assessments: Concepts, Models, and Case Studies

Franklin Richard Nash, Ph.D.
July 06, 2016

This book provides engineers and scientists with a single source introduction to the concepts, models, and case studies for making credible reliability assessments. It satisfies the need for thorough discussions of several fundamental subjects. Section I contains a comprehensive overview of...

Bayesian Designs for Phase I-II Clinical Trials

Ying Yuan, Hoang Q. Nguyen, Peter F. Thall
June 22, 2016

Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to...

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition

Walter Zucchini, Iain L. MacDonald, Roland Langrock
June 07, 2016

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting the basic model...

Statistical Testing Strategies in the Health Sciences

Albert Vexler, Alan D. Hutson, Xiwei Chen
May 25, 2016

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap...

Benefit-Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments

Qi Jiang, Weili He
May 24, 2016

Guides You on the Development and Implementation of B–R Evaluations Benefit–Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments provides general guidance and case studies to aid practitioners in selecting specific benefit–risk (B–R) frameworks...

Extending R

John M. Chambers
May 24, 2016

Up-to-Date Guidance from One of the Foremost Members of the R Core Team Written by John M. Chambers, the leading developer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides...

Bayesian Psychometric Modeling

Roy Levy, Robert J. Mislevy
May 23, 2016

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches,...

Understanding Enzymes: Function, Design, Engineering, and Analysis

Allan Svendsen
May 17, 2016

Understanding Enzymes: Function, Design, Engineering, and Analysis focuses on the understanding of enzyme function and optimization gained in the past decade, past enzyme function analysis, enzyme engineering, and growing insights from the simulation work and nanotechnology measurement of enzymes...

Conferences

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