Nafis Faizi, Yasir Alvi

Biostatistics Manual for Health Research (eBook, ePUB)

A Practical Guide to Data Analysis

• Format: ePub

Produktbeschreibung

Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher's point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research.

• Applies a practical and solution centric approach to support readers to successfully manage their research data
• Explains step-by-step the different biostatistical tests, including screenshots from the most common softwares used currently for easy consult
• Summarizes the content of each chapter in concise text boxes to help readers find the right information when needed

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 290
• Erscheinungstermin: 19. April 2023
• Englisch
• ISBN-13: 9780443185519
• Artikelnr.: 67812187

Autorenporträt

Dr. Nafis Faizi is an Assistant Professor at JN Medical College for the past 7 years. He is also a trainer for Epidemiological Research Unit and a member of Statistics Without Borders and Global Health Training Network. For the past 9 years, he has been conducting regular workshops and training in biostatistics, data analysis and research writing. His primary qualifications are MBBS and MD in Community Medicine from AMU, Aligarh followed by master's in public health (MPH) from UK. He is also a faculty for International People's Health University and teaches epidemiology at People's Open Access Intitiative, UK.

Inhaltsangabe

1. Introduction to Biostatistics 2. Data Management and SPSS environment 3.
Statistical tests of significance 4. Parametric tests 5. Non-parametric
tests 6. Correlation 7. Categorical Variables 8. Testing for Validity 9.
Testing for Reliability and Agreements 10. Survival Analysis 11.
Multivariate Analysis 12. Annexures