Basics of Biostatistics and Research Methodology: A Concise Handbook of Medical Statistics

Basics of Biostatistics and Research Methodology

Subtitle: A Concise Handbook for Medical Students – For BAMS Students based on Latest NCISM Syllabus

📖 Book Description :

"Basics of Biostatistics and Research Methodology" is a comprehensive yet concise textbook designed for undergraduate and postgraduate medical, dental, nursing, and AYUSH students. Based on the latest NCISM syllabus, this book simplifies the essential concepts of biostatistics and research in a practical, easy-to-understand manner.

Written in a student-friendly language, it bridges the gap between theory and application by providing clear explanations, step-by-step examples, formulas, and real-life medical research illustrations.

This book serves as a complete guide to understanding how data, statistics, and scientific research methods form the backbone of modern evidence-based medicine.

📚 Key Features:

Covers the entire NCISM and NMC syllabus of Biostatistics and Research Methodology.

Simplified explanations of statistical concepts — Mean, Median, Mode, Standard Deviation, Correlation, Regression, t-test, Chi-square test, and more.

Detailed discussion on types of research designs, sampling methods, errors, validity, and reliability.

Includes CONSORT, PRISMA, STROBE and other modern research reporting guidelines.

Step-by-step examples using Excel and SPSS for practical learning.

MCQs, flowcharts, summary tables, and key points for quick revision.

Ideal for BAMS, MBBS, BDS, BNYS, BPT, and Nursing students.

📈 Who Should Read This Book:

Undergraduate and postgraduate medical students (especially BAMS & MBBS).

Teachers, researchers, and academicians in medical and AYUSH colleges.

Students preparing for university or entrance examinations.

🔍 Keywords:

Biostatistics, Medical Research, Research Methodology, BAMS Book, NCISM Syllabus, Evidence-Based Medicine, Medical Statistics, Research Design, Data Analysis, SPSS, CONSORT Guidelines, PRISMA, Regression Analysis, Descriptive Statistics, Sampling Methods, Statistical Tests, Medical Education, Public Health Research.