Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel Set
Seiten
2018
John Wiley & Sons Inc (Verlag)
978-1-119-09004-5 (ISBN)
John Wiley & Sons Inc (Verlag)
978-1-119-09004-5 (ISBN)
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This set includes Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and Workbook to accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel.
Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel provides statistical concepts for interpreting results using Microsoft Office Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels.
The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel also includes:
Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods
Numerous examples with clear explanations that use mostly real-world health research data provide a better understanding of the practical applications
Implements Excel graphic representations throughout to help readers evaluate and analyze individual results
An appendix with basic information on how to use Excel
A companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual
Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel provides statistical concepts for interpreting results using Microsoft Office Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels.
The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel also includes:
Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods
Numerous examples with clear explanations that use mostly real-world health research data provide a better understanding of the practical applications
Implements Excel graphic representations throughout to help readers evaluate and analyze individual results
An appendix with basic information on how to use Excel
A companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual
Robert P. Hirsch, PhD,?is on the faculty for the Foundation for the Advanced Education in the Sciences within the Graduate School at the National Institutes of Health.?He is also a retired Professor of Epidemiology and Biostatistics and Adjunct Professor of Statistics at The George Washington University.?Dr. Hirsch is the author of numerous books in the field of health research and practice.
Erscheint lt. Verlag | 19.1.2018 |
---|---|
Verlagsort | New York |
Sprache | englisch |
Maße | 150 x 229 mm |
Gewicht | 352 g |
Themenwelt | Informatik ► Office Programme ► Excel |
Mathematik / Informatik ► Mathematik | |
Medizin / Pharmazie ► Medizinische Fachgebiete | |
Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
ISBN-10 | 1-119-09004-0 / 1119090040 |
ISBN-13 | 978-1-119-09004-5 / 9781119090045 |
Zustand | Neuware |
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