Statistics

A comprehensive guide to applied medical statistics intended to further general scientific research, understanding, and discussion. The work covers concepts relevant to epidemiology and biostatistics professionals and emphasizes the importance of reviewing evolving information regarding diagnosis, treatment, and use of medical devices.

A popular and highly recommended textbook for learning statistics and research methods, emphasizing practical application using the SPSS software package. Praised for its humorous and accessible approach, the book aims to simplify complex statistical concepts, making them manageable for students across various scientific and medical research disciplines.

This book details statistical methods necessary for survival trial design, particularly focusing on their application in cancer clinical trials and providing examples and implementation using the R programming environment.

Free, peer-reviewed, openly licensed textbook from OpenStax (Rice University) designed for introductory college and Advanced Placement courses. It covers fundamental statistical concepts and is an essential foundation for fields like biostatistics and medical research.

This text details the fundamental statistical principles and methodologies necessary for the robust design and analysis of clinical trials, covering key concepts relevant to biomedical and pharmaceutical research.

An introductory textbook designed for medical students covering the fundamental principles and applications of medical statistics. Key topics include definitions of medical statistics, variables and data types, probability, population and samples, steps of statistical work, research study design (observational and experimental), sample size estimation, and selection of statistical methods.

A collection of discussions and analyses focusing on complex, disputed, or challenging statistical methodologies and practices specifically applied to the design and conduct of clinical trials.

A comprehensive textbook focusing on the application of statistical methods, research design, and data analysis techniques relevant to medical investigation, public health, and epidemiology.

A foundational guide to biostatistics, published in the accessible 'For Dummies' format. The excerpt provided contains copyright, legal disclaimers, and publishing contact information.

A foundational text focusing on the statistical methods and principles necessary for the design, execution, and interpretation of results in clinical trials.

Use R to turn data into insight, knowledge, and understanding. Aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse. This updated edition covers importing, transforming, visualizing, and communicating results, providing a complete understanding of the data science cycle. Includes new chapters on getting data from spreadsheets, databases, and websites, and integrating results with Quarto.