In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering several trainings that cover general concepts behind statistics and epidemiology. These trainings will help participants better understand and prepare data, interpret results and findings, design and prepare studies, and understand the results in published literature.
This four-hour online training will address fundamental statistical concepts including hypothesis testing, p-values and confidence intervals, types of data and their distributional importance, and bias and confounding. Time will be devoted to questions from attendees and references will be provided for in-depth self-study.
By the end of this training, attendees will be able to:
Describe key concepts in statistical procedures
Understand the steps involved in hypothesis testing
Define p-values and be familiar with their appropriate uses
Describe confidence intervals and their uses
Understand differences in types of data and how to summarize them
Describe bias and confounding