||Data Management and Analysis Using JMP: Health Care Case Studies|
By Jane Oppenlander and Patricia Schaffer
Anticipated publication date: First quarter 2017
Data Management and Analysis Using JMP: Health Care Case Studies is designed for beginner and intermediate JMP users, who are working or studying in the health care field. The book takes a holistic, step-by-step approach to analyzing real-world health care data. The cases begin by illustrating techniques to prepare data for analysis, followed by effective methods to summarize, visualize, and analyze data. The statistical analysis methods covered are the foundational techniques commonly applied to meet regulatory, operational, budgeting, and research needs in the healthcare industry.
The book bridges the gap between the traditional first statistics course preparation and the successful application of statistical analysis in the workplace. It shows practitioners how to solve real-world problems by example using an approach that covers problem definition, data management, a framework for selecting the appropriate analysis methods, step-by-step JMP instructions, and how to interpret statistical results in context. Practical strategies for selecting appropriate statistical methods, remediating data anomalies, and interpreting statistical results in the domain context are emphasized.
The cases make use of multiple statistical methods, as is often required in real-life applications. A progression of methods from univariate to multivariate is employed illustrating a logical approach to problem solving. Much of the data used in these cases is open-source, drawn from a variety of healthcare settings. This book will serve as a useful guide for working professionals along with students studying statistics in health care related fields.