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Biostatistics, Fourth Edition

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Biostatistics, Fourth Edition

Biostatistics, Fourth Edition

Book Details:

Publisher: Scientific International Pvt. Ltd.

ISBN: 9789363630116

Author: Veer Bala Rastogi

Subject: Life Science

Language: English

Binding: Paperback

Total Pages: 502

Copyright Year: 2026

About the Book
Biostatistics, Fourth Edition is a comprehensive and updated guide designed for students and researchers in biological, medical, and health sciences. Written in clear and simple language, the book makes statistical concepts easy to understand even for readers without a strong mathematics background. It includes practical examples from biology, medicine, agriculture, and public health to help readers connect theory with real-life applications. This edition introduces modern topics such as survival analysis, meta-analysis, Bayesian statistics, bioinformatics, statistical genomics, multivariate analysis, and machine learning. Each chapter provides step-by-step solutions, solved examples, formulas, and self-assessment questions to strengthen understanding. With updated content, glossary, appendices, and modern data analysis tools, this book serves as an essential resource for undergraduate, postgraduate students, teachers, and professionals in life sciences and healthcare fields.

$2.87

Original: $9.55

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Biostatistics, Fourth Edition

$9.55

$2.87

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Book Details:

Publisher: Scientific International Pvt. Ltd.

ISBN: 9789363630116

Author: Veer Bala Rastogi

Subject: Life Science

Language: English

Binding: Paperback

Total Pages: 502

Copyright Year: 2026

About the Book
Biostatistics, Fourth Edition is a comprehensive and updated guide designed for students and researchers in biological, medical, and health sciences. Written in clear and simple language, the book makes statistical concepts easy to understand even for readers without a strong mathematics background. It includes practical examples from biology, medicine, agriculture, and public health to help readers connect theory with real-life applications. This edition introduces modern topics such as survival analysis, meta-analysis, Bayesian statistics, bioinformatics, statistical genomics, multivariate analysis, and machine learning. Each chapter provides step-by-step solutions, solved examples, formulas, and self-assessment questions to strengthen understanding. With updated content, glossary, appendices, and modern data analysis tools, this book serves as an essential resource for undergraduate, postgraduate students, teachers, and professionals in life sciences and healthcare fields.

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