Practical Healthcare Statistics with Examples in Python and R A Guide for the Uninitiated

Cover of Practical Healthcare Statistics with Examples in Python and R A Guide for the Uninitiated by Michael Korvink
Publisher: CRC Press LLC
Year: 2025
Language: en
Edition: 1
Pages: 228
ISBN-13: 9781041001416
Dimensions:
Weight: 0.98987555638 Pounds
Editorial overview Touché

“Practical Healthcare Statistics with Examples in Python and R: A Guide for the Uninitiated” by Michael Korvink, published by CRC Press LLC on August 13, 2025, offers a clear introduction to statistical methods in healthcare. This 228-page book is designed for recent graduates, new analysts, and professionals transitioning into healthcare analytics, providing practical guidance on addressing real-world problems through statistical concepts and programming.

Readers will find a structured approach divided into three primary sections. The first section introduces healthcare data and measures, covering administrative claims and electronic health records. The second section delves into foundational techniques such as hypothesis testing and regression analysis, while the final section presents epidemiological techniques, including measures of disease frequency and time-to-event analysis. Each statistical method is explained in plain English and accompanied by examples in both Python and R, making it accessible for those without extensive programming experience. This resource aims to equip analysts, data scientists, and health researchers with the skills needed to make informed, data-driven decisions in healthcare.


Official synopsis Publisher

“Practical Healthcare Statistics with Examples in Python and R provides a clear and straightforward introduction to statistical methods in healthcare. Designed for recent graduates, new analysts, and professionals transitioning into healthcare analytics, it offers practical guidance on tackling real-world problems using statistical concepts and programming. The book is divided into three primary sections. The first section provides an introduction to healthcare data and measures. In these chapters, readers will learn about the nuances of administrative claims and electronic health records, as well as common industry measures related to quality and efficiency of care. The second section will cover foundational techniques, such as hypothesis testing and regression analysis, as well as more advanced approaches, like generalized additive models and hierarchical models. In the last section, readers will be introduced to epidemiological techniques such as direct and indirect standardization, measures of disease frequency and association, and time-to-event analysis. The book emphasizes interpretable methods that are both effective and easy to communicate to clinical and non-technical stakeholders. Each technique presented in the book is accompanied by statistical notation described in plain English, as well as a self-contained example implemented in both Python and R. These examples help readers connect statistical methods to real healthcare scenarios without requiring extensive programming experience. By working through these examples, readers will build technical skills and a practical understanding of how to analyze healthcare data. These methods are not only central to improving patient care but are also adaptable to other areas within and beyond healthcare. This book is a practical resource for analysts, data scientists, health researchers, and others looking to make informed, data-driven decisions in healthcare”– Provided by publisher.

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What is “Practical Healthcare Statistics with Examples in Python and R A Guide for the Uninitiated” about?
This page includes the available description and bibliographic details for “Practical Healthcare Statistics with Examples in Python and R A Guide for the Uninitiated” by Michael Korvink. Synopsis preview: “Practical Healthcare Statistics with Examples in Python and R provides a clear and straightforward introduction to statistical methods in healthcare. Designed for recent graduates, new analysts, and professionals transi…
Who is the author of “Practical Healthcare Statistics with Examples in Python and R A Guide for the Uninitiated”?
“Practical Healthcare Statistics with Examples in Python and R A Guide for the Uninitiated” is credited to Michael Korvink.
When was “Practical Healthcare Statistics with Examples in Python and R A Guide for the Uninitiated” published?
Publisher: CRC Press LLC. Year: 2025.
What is the ISBN for “Practical Healthcare Statistics with Examples in Python and R A Guide for the Uninitiated”?
ISBN-13: 9781041001416.
What are the book details (language, pages, edition)?
Language: en. Pages: 228. Edition: 1.

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