Description
Introduction to Biostatistics with JMP® presents a comprehensive, accessible guide to essential statistical methodologies tailored specifically for undergraduate students engaged in the biological sciences. This ebook empowers learners with a solid foundation in the statistical techniques frequently employed—yet often misapplied—in their experimental analyses using JMP software. By integrating biological examples throughout, students not only grasp key concepts but also recognize their real-world applicability in solving research challenges they may encounter in their future careers.
Beginning with the critical skill of statistical reasoning, this ebook helps students cultivate the confidence to select and apply the appropriate analyses while thinking like a statistician. It seamlessly progresses into the practical implementation of specific statistical tests, utilizing the robust features of JMP to tackle complex challenges through chi-square tests, t-tests, various regression models, ANOVA, Design of Experiments (DOE), and survival analysis. Particular emphasis is given to vital topics that resonate within the biological and health sciences, including odds ratios, relative risk, and survival outcomes.
The author’s engaging and conversational writing style ensures that readers remain captivated as they navigate the complexities of biostatistics. The primary objective of this ebook is to develop proficient bioscientists equipped to adeptly incorporate statistical analysis into their research toolkit, enhancing their analytical capabilities to address biological inquiries as they arise.
Review
“The author walks the audience through a concise introduction to JMP and basic statistical theory/application, eventually guiding them to more advanced and commonly used applications like regression and time series modeling.” — Deanna Schreiber-Gregory, Independent Consultant – Statistical Theory and Data Management “Juxdapoze”
NOTE: This product exclusively includes the ebook Introduction to Biostatistics with JMP in PDF format. Please be advised that no access codes are provided.
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