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Advanced Statistical Methods in Life Science by BASAVARAJAIAH. MURTHY DM (B NARASIMHA.), Narasimhamurthy B ISBN 9781032713823, 1032713828 instant download

  • SKU: EBN-237439146
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Instant download (eBook) Advanced Statistical Methods in Life Science after payment.
Authors:BASAVARAJAIAH. MURTHY DM (B NARASIMHA.), Narasimhamurthy B
Pages:updating ...
Year:2025
Edition:1
Publisher:Chapman and Hall/CRC
Language:english
File Size:21.84 MB
Format:epub
ISBNS:9781032713823, 1032713828
Categories: Ebooks

Product desciption

Advanced Statistical Methods in Life Science by BASAVARAJAIAH. MURTHY DM (B NARASIMHA.), Narasimhamurthy B ISBN 9781032713823, 1032713828 instant download

This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in life sciences. Advanced statistical methods, such as testing of hypotheses, recent methods of sample size determination/imputation, estimation techniques, probability distributions, and univariate analysis demonstrated with real data, and their integration into life sciences are included in this book. Advanced topics are presented with sufficient conceptual depth and examples to explain the use of recent statistical techniques and to demonstrate what conclusions can be drawn at the right time using modeling in life science research.

Key features:

Explains the derivation of statistical models to prove disease transmission using massive real-world datasets to explore practical applicability

Incorporates the application of innovative advanced statistical and epidemiological models and demonstrates the possible solutions for public health policy intervention

Helps to understand the process of hypothesis testing in small or larger observations by using weighted parameters

Presents suitable examples and real-life research datasets, and all models can easily be followed in formulating statistical and mathematical derivations and key points

Includes machine learning (ML), statistical methods for meta-analysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis, and recent nonparametric methods, all illustrated through actual data

This textbook is for students and scholars of various courses in life sciences, medicine, mathematics, and statistical science. It will also help academicians and researchers to understand the foundation of this topic.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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