April 2, 2024
Updated May 20, 2025
18 minute read
Navigating the World of Clinical Trial Management
xy5hg1|
Find a path to becoming a Clinical Trial Manager. Learn more at:
OpenCourser.com/career/xy5hg1/clinical
Reading list
We haven't picked any books for this reading list yet.
Provides a comprehensive overview of the principles of clinical trial design, from study design to statistical analysis.
A groundbreaking book on causal inference, providing an intuitive understanding of the foundations and applications of causal inference. Particularly relevant for understanding randomized controlled trials.
Provides a practical guide to the design and analysis of clinical trials, with a focus on methodological issues.
Provides a comprehensive overview of statistical learning methods, with a focus on how they can be used to solve real-world problems.
Provides a comprehensive overview of statistical learning methods, with a focus on how they can be used to build predictive models.
Provides a comprehensive overview of missing data methods, with a focus on how they can be used to handle missing data in real-world datasets.
Provides a comprehensive overview of Bayesian data analysis, with a focus on how it can be used to solve real-world problems.
Provides a comprehensive overview of causal inference, with a focus on how it can be used to make decisions in the face of uncertainty.
This textbook covers the statistical methods used in medical research, with a focus on how they can be applied to real-world problems. It is suitable for students and professionals in the medical field.
This advanced textbook covers a wide range of statistical topics, with a focus on how they can be applied to medical and biomedical research. It is suitable for researchers and graduate students.
Provides a comprehensive overview of medical statistics, covering a wide range of topics from basic concepts to advanced statistical methods. It is suitable for both beginners and experienced researchers, and it can be used as a textbook or a reference book.
An authoritative work on handling missing data in clinical studies, providing a comprehensive overview of methods for imputing missing data and assessing their impact on study results, particularly relevant for randomized controlled trials.
A comprehensive introduction to Bayesian data analysis, providing a theoretical foundation and practical guidance for applying Bayesian methods to real-world problems, including randomized controlled trials.
Provides a comprehensive overview of machine learning techniques and how they can be applied to healthcare.
A comprehensive textbook addressing the principles and practices of clinical research by highly experienced investigators. Covers ethical and regulatory aspects, study designs, and data analysis.
This handbook provides a comprehensive overview of the conduct of clinical trials, from study design to data analysis. is extensively referenced and is contributed by nearly 100 authors, including some of the most prominent statisticians in the field.
A comprehensive textbook on statistical methods commonly used in medical research, including randomized controlled trials. Provides detailed explanations and examples of statistical concepts and techniques.
Provides a practical guide to Bayesian data analysis using the R and Stan software.
A practical guide for those less familiar with clinical trials. Clear explanations of important randomized trial designs, basic statistical methods, and processes such as data collection, randomization, and analysis.
Provides a methodologic perspective on clinical trials, with a focus on the design and analysis of clinical trials.
Provides a practical guide to data science, with a focus on how it can be used to solve real-world problems. It is suitable for anyone who wants to learn more about data science.
A practical guide for understanding and applying statistical techniques for analyzing research and data in social science and public health. Step-by-step instructions with clear explanations and examples.
Provides a practical guide to the planning, conduct, and analysis of clinical trials.
Provides an epidemiologic approach to the design of clinical research.
For more information about how these books relate to this course, visit:
OpenCourser.com/career/xy5hg1/clinical
Save
