Principles and Practice of Biostatistics - E-book
Nonfiction, Health & Well Being, Medical, Patient Care, Medical History & Records, Ailments & Diseases, Infectious Diseases, Epidemiology
| Author: | B Antonisamy, Prasanna S. Premkumar, Solomon Christopher | ISBN: | 9788131249420 |
| Publisher: | Elsevier Health Sciences | Publication: | April 28, 2017 |
| Imprint: | Elsevier India | Language: | English |
| Author: | B Antonisamy, Prasanna S. Premkumar, Solomon Christopher |
| ISBN: | 9788131249420 |
| Publisher: | Elsevier Health Sciences |
| Publication: | April 28, 2017 |
| Imprint: | Elsevier India |
| Language: | English |
Principles and Practice of Biostatistics emphasizes the basic aspects of biostatistics most often used in the teaching and research areas of medical, nursing and allied health sciences.
- Written in a simple tone and chapters are organized in logical order to ease the process of understanding.
- Covers topics such as basic biostatistics, epidemiology & clinical trials, research methods & data management, and the most commonly used regression methods.
- Stresses on the importance and appropriateness of statistical methods, their assumptions, validity and interpretation in the context of clinical data.
- Each chapter is organized into Learning Objectives, Introduction of various statistical methods illustrated with Worked Examples and graphical methods as appropriate, ending with summarized Key Points.
- Review Questions, Exercises and Multiple Choice Questions enable the reader a quick grasp of and greater insight into the methods presented in the text.
Principles and Practice of Biostatistics emphasizes the basic aspects of biostatistics most often used in the teaching and research areas of medical, nursing and allied health sciences.
- Written in a simple tone and chapters are organized in logical order to ease the process of understanding.
- Covers topics such as basic biostatistics, epidemiology & clinical trials, research methods & data management, and the most commonly used regression methods.
- Stresses on the importance and appropriateness of statistical methods, their assumptions, validity and interpretation in the context of clinical data.
- Each chapter is organized into Learning Objectives, Introduction of various statistical methods illustrated with Worked Examples and graphical methods as appropriate, ending with summarized Key Points.
- Review Questions, Exercises and Multiple Choice Questions enable the reader a quick grasp of and greater insight into the methods presented in the text.
