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Tuesday, 30 April 2019 12:00 PM - 3:00 PM EST
Building 10, Room 11S235, Wolff conference room, Bethesda, MD, 20892, United States
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12 Seats at table are first-come, first-serve; additional seats available
NIH Bldg. 10, Rm. 11S235, Building 10, Room 11S235, Bethesda, MD, 20892, United States.
A Statistical test provides a mechanism for making quantitative decisions about a process or processes. Its intent is to determine whether there is enough evidence to reject a null hypothesis or hypothesis about the process. The course will cover designing the statistical testing process, data preprocessing, understanding and interpreting the basic statistical concepts (p-value, confidence interval, etc.), and the most common statistical testing methods in clinical research. The course will also include a hands-on component using GraphPad Prism and R statistical language to perform common statistical tests.
The detailed topics will be covered in this course:
- Introduction to statistical testing process
- Data Preprocessing
- Common parametric and non-parametric tests, including two-sample t-test, ANOVA, multiple comparisons, correlation, linear regression, Robust statistics, etc.
- Application in GraphPad Prism and R
Prerequisites for this course:
- Basic R
- Operating Systems: MacOS or Windows
Cancellation policy Cancel at any time.
Cancel at any time.
The Bioinformatics and Computational Biosciences Branch (BCBB) drives innovation in biomedical informatics at the NIAID for global health clinicians and researchers by fostering a pipeline of products, platforms, and solutions. The BCBB partners with clients in the research process by applying bioinformatics and computational biology methods to generate new hypotheses and data, analyzing existing data, and ultimately elevating the use of these methods and resources throughout the NIH. For more information, visit: https://bioinformatics.niaid.nih.gov
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