Module 14 - Bias & Confounders
Channel: Quinnipiac University: Health Professions Biostatistics
Date: 26/09/2013

Although sample data are usually representative of the population, there is always the chance that the sample is misleading and will cause a researcher to make the wrong decision about the research results. 

The goal of this session is to learn the statistical concepts of bias and confounders and how they are used to reduce the risk of drawing incorrect conclusions.