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    Biostatistics with Python: Apply Python for biostatistics with hands-on biomedical and biotechnology projects

    Posted By: naag
    Biostatistics with Python: Apply Python for biostatistics with hands-on biomedical and biotechnology projects

    Biostatistics with Python: Apply Python for biostatistics with hands-on biomedical and biotechnology projects
    English | 2024 | ISBN: 1837630968 | 374 pages | EPUB (True) | 24.76 MB

    Learn how to utilize biostatistics with Python for excelling in research and biomedical professions with practical exemplar projects

    Key Features
    Bridge the gap between biostatistics and life sciences with Python
    Work with practical exercises for real-world data analysis in biology and medicine
    Access a portfolio of exemplar projects in the domains of biomedicine, biotechnology, and biology
    Purchase of the print or Kindle book includes a free PDF eBook
    Book Description
    This book leverages the author’s decade-long experience in biostatistics and data science to simplify the practical use of biostatistics with Python. The chapters show you how to clean and describe your data effectively, setting a solid foundation for accurate analysis and proficiency in biostatistical inference to help you draw meaningful conclusions from your data through hypothesis testing and effect size analysis.

    The book walks you through predictive modeling to harness the power of Python to create robust predictive analytics that can drive your research and professional projects forward. You'll explore clinical biostatistics, learn how to design studies, conduct survival analysis, and synthesize evidence from multiple studies with meta-analysis – skills that are crucial for making informed decisions based on comprehensive data reviews. The concluding chapters will enhance your ability to analyze biological variables, enabling you to perform detailed and accurate data analysis for biological research. This book's unique blend of biostatistics and Python helps you find practical solutions that make complex concepts easy to grasp and apply.

    By the end of this biostatistics book, you’ll have moved from theoretical knowledge to practical experience, allowing you to perform biostatistical analysis confidently and accurately.

    What you will learn
    Get to grips with the basics of biostatistics and Python programming
    Clean and describe data using Python
    Familiarize yourself with hypothesis testing and effect size analysis
    Explore predictive modeling in biostatistics
    Understand clinical study design and survival analysis
    Gain a clear understanding of the meta-analysis of clinical research data
    Analyze biological variables with Python
    Discover practical data analysis for biological research
    Who this book is for
    This book is for life science professionals, researchers, biomedical professionals, and aspiring biostatisticians who want to integrate biostatistics into their work or research. A basic understanding of life sciences, biology, or medicine is recommended to fully benefit from this book.

    Table of Contents
    Introduction to Biostatistics
    Getting Started with Python for Biostatistics
    Exercise 1 – Cleaning and Describing Data Using Python
    Part 1 Exemplar Project – Load, Clean, and Describe Diabetes Data in Python
    Introduction to Python for Biostatistics
    Biostatistical Inference Using Hypothesis Tests and Effect Sizes
    Predictive Biostatistics Using Python
    Part 2 Exercise – T-Test, ANOVA, and Linear and Logistic Regression
    Biostatistical Inference and Predictive Analytics Using Cardiovascular Study Data
    Clinical Study Design
    Survival Analysis in Biomedical Research
    Meta-Analysis – Synthesizing Evidence from Multiple Studies
    Survival Predictive Analysis and Meta-Analysis Practice
    Part 3 Exemplar Project – Meta-Analysis of Survival Data in Clinical Research
    Understanding Biological Variables