Practical healthcare statistics with examples in Python and R : a guide for the uninitiated

Michael Korvink

1. An Overview of Healthcare Data 2. Healthcare Measures 3. Hypothesis Testing 4. Confidence Intervals 5. Regression Modeling 6. Advanced Regression Modeling 7. Measures of Disease Frequency and Association 8. Standardization 9. Time-to-event Analysis

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Year of publication:	2025 ; First edition
Authors:	Korvink, Michael
Publisher:	Boca Raton : CRC Press

Extent:	1 online resource (246 pages) illustrations
Type of publication:	Book / Working Paper
Language:	English
Notes:	Barrierefreier Inhalt: Table of contents navigation. Epub Accessibility Specification 1.1 Anmerkungen zur Barrierefreiheit: Practical Healthcare Statistics with Examples in Python and R aspires to meet the AA level of the Web Content Accessibility Guidelines. It is a complex book with images, equations, tables, lists, references, cross-references, backlinks and hyperlinks. Some images and tables may appear on pages different from the print version. All images have short descriptions. Linked DOIs are provided, but not uniquely identified. In-text citations are linked, however backlinks only return to the first in-text citation.. Compliance organization's web page: https://bornaccessible.org/certification/gca-credential/
ISBN:	978-1-003-60975-9 ; 1-003-60975-9 ; 978-1-040-39023-8 ; 1-040-39023-4 ; 978-1-040-39025-2 ; 1-040-39025-0 ; 978-1-041-00141-6 ; 978-1-041-00423-3
Other identifiers:	10.1201/9781003609759 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015582120