Introduction to biostatistical applications in health research with Microsoft Office Excel - Info and Reading Options
By Robert P. Hirsch
"Introduction to biostatistical applications in health research with Microsoft Office Excel" was published by John Wiley & Sons Inc. in 2016 - New York, NY, it has 408 pages and the language of the book is English.
“Introduction to biostatistical applications in health research with Microsoft Office Excel” Metadata:
- Title: ➤ Introduction to biostatistical applications in health research with Microsoft Office Excel
- Author: Robert P. Hirsch
- Language: English
- Number of Pages: 408
- Publisher: John Wiley & Sons Inc.
- Publish Date: 2016
- Publish Location: New York, NY
“Introduction to biostatistical applications in health research with Microsoft Office Excel” Subjects and Themes:
- Subjects: ➤ Microsoft excel (computer program) - Electronic spreadsheets - Biometry - Medical statistics - Statistical Data Interpretation - Microsoft Excel (Computer file) - Mathematical Computing - Methods - Biostatistics
Edition Specifications:
- Pagination: p.
Edition Identifiers:
- The Open Library ID: OL30401099M - OL21574689W
- Library of Congress Control Number (LCCN): 2015039977
- ISBN-13: 9781119089650
- All ISBNs: 9781119089650
AI-generated Review of “Introduction to biostatistical applications in health research with Microsoft Office Excel”:
"Introduction to biostatistical applications in health research with Microsoft Office Excel" Table Of Contents:
- 1- Thinking about chance
- 2- Describing populations
- 3- Examining samples
- 4- Univariable analysis of a continuous dependent variable
- 5- Univariable analysis of an ordinal dependent variable
- 6- Univariable analysis of a nominal dependent variable
- 7- Bivariable analysis of a continuous dependent variable
- 8- Bivariable analysis of an ordinal dependent variable
- 9- Bivariable analysis of a nominal dependent variable
- 10- Multivariable analysis of a continuous dependent variable
- 11- Multivariable analysis of an ordinal dependent variable
- 12- Multivariable analysis of a nominal dependent variable.
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