ncibtep@nih.gov

Bioinformatics Training and Education Program

Statistical Inference: Frequentist Approach, Part 1 of 2

Statistical Inference: Frequentist Approach, Part 1 of 2

 When: Apr. 25th, 2025 11:00 am - 1:00 pm

Learning Level: Beginner

To Know

Where:
Online Webinar
Organizer:
NIH Library
Presented By:
Xiaobai Li ( NIH Clinical Center)

About this Class

In partnership with the NIH Clinical Center's Biostatistics and Clinical Epidemiology Service (BCES), the NIH Library is offering this two-part online training for non-statisticians interested in understanding the basic, intuitive thinking behind the two schools of statistical inference: frequentist (known as classical) and Bayesian. 

Part 1 is a  two-hour online training that will address the frequentist approach and will cover the concepts of hypothesis testing, confidence intervals, Type I and Type II errors, statistical power, and p-values. Technical details will be kept to an absolute minimum.    

By the end of this training, attendees will be able to:  

  • Understand how to use statistical concepts to test hypotheses 
  • Interpret the results of statistical tests 
  • Make informed decisions about the significance of findings while considering the potential for errors in the analysis 

Attendees are not expected to have any prior knowledge to be successful in this training. Although you may attend only one part of this series, attending both parts will give you a better sense of the contrast between these two statistical approaches. 

You must register separately for Part 2 of this class series.