Statistics and Epidemiology - Part 3: Overview of Common Statistical Tests

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 six-hour online training will describe the basic concepts for using common statistical tests such as Chi-square, paired and two-sample t-tests, ANOVA, correlations, simple and multiple regression, logistic regression, and survival analysis. 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:  

• Explain the importance of study design and hypothesis 

• Describe types of data and their distributions 

• List examples of statistical tests for analyzing continuous data 

• List examples of statistical tests for analyzing dichotomous or categorical data 

• Understand differences in regression methods 

• Identify nonparametric tests and when to use them 

The first part of the class will be 10:00 a.m. to 12:00 p.m. EST followed by a break from 12:00-1:00 p.m. The class resumes at 1:00 p.m. and concludes at 5:00 p.m.