Biostatistics: A Guide to Design, Analysis and Discovery 2nd Edition
- Publisher: BIOLOGY
- Availability: In Stock
- SKU: 44885
- Number of Pages: 520
Rs.1,090.00
Rs.1,395.00
Tags: 2nd edition , A Guide to Design , A Guide to Design Analysis and Discovery , advanced biostatistics , applied biostatistics , best books , Best Price , Best Selling Books , biostatistical data analysis , biostatistical research in medicine , biostatistical techniques , biostatistical tools for health research , Biostatistics , Biostatistics 2nd Edition , biostatistics applications in medical research , biostatistics design and analysis , biostatistics for biological research , biostatistics for biology students , biostatistics for discovery , biostatistics for epidemiology , biostatistics for health sciences , biostatistics for medical students , biostatistics for students , biostatistics in biological studies , biostatistics in clinical studies , biostatistics in health research , biostatistics in public health , biostatistics methods , biostatistics theory , data analysis for healthcare , Eun Sul Lee , health data analysis , health research statistics , healthcare statistics analysis , medical research statistics , Mike Hernandez , ONLINE BOOKS , Online Bookshop , Ronald N Forthofer , statistical analysis in healthcare , statistical data analysis , statistical design for research , statistical methods in biology , statistical research methods , statistical techniques in biostatistics
๐ Title Name: Biostatistics: A Guide to Design, Analysis and Discovery
โ๏ธ Author: Ronald N Forthofer, Eun Sul Lee, Mike Hernandez
Quality: Black White Pakistan Print
๐น Introduction:
This textbook provides a comprehensive guide to biostatistical methods with a focus on design, analysis, and discovery in biological and health research. It is intended for students and professionals seeking a deeper understanding of biostatistics and its practical applications.
๐ Key Points:
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Emphasizes the application of biostatistics in biological and health research design.
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Covers a wide range of statistical techniques for data analysis and discovery.
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Suitable for students, researchers, and professionals in health, biology, and medical fields.
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