Bias Study
Step 1: Learning Objectives
- Define bias
- Describe factors that contribute to random errors
- Poor precision
- Sampling error
- Measurement error
- Describe factors that contribute to each type of bias and give an example of each:
- Selection bias (self-selection, i.e. volunteer bias, healthy worker effect, sample selection bias)
- Information bias (interviewer, recall, misclassification)
- Identify types of biases specific for different study designs:
- RCT
- Case-control
- Cohort studies
- Describe simple ways to minimize bias at the design phase of a study
- Develop an explicit case definition
- Enroll all cases in a defined time and region from a defined source population
- Strive for high participation rate (minimize loss to follow-up and drop-out rate)
- Take precautions to ensure representativeness of the sample
- Describe simple ways to minimize bias at the analysis phase of a study
- Handling of misclassification (observer bias, measurement bias)
- Other methods