Trial simulations provide a very useful tool in planning and designing successful clinical trials. Because so many different variables go into the design, conduct, and outcome of a...
This book shows the elements of statistical science that are highly relevant for students who plan to become data scientists. However, most of the content focuses on the statistica...
From the very basics to linear models, this book provides a complete introduction to statistics, data analysis, and R for bioinformatics research and applications. It covers ANOVA,...
There are many methods for multiple testing adjustment and questions arise concerning when they should be used and how they may provide different results. This book focuses on mult...
The intended audience is leaders at financial institutions who want to build data science practices, analysts at financial institutions who want to work on data science teams, stud...
This book provides a systematic account of robust statistical methods, an area where the existing literature is dated, narrow, or treated in an overly theoretical manner. The autho...
Bridging the gap between introductory theory and practical knowledge, this second edition reflects the fast-moving field of DNA microarrays by adding new and updated chapters that ...
This book provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. You'll learn how to overcome these hurdles without needing to set up c...
This book provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. You'll learn how to overcome these hurdles without needing to set up c...
