Bias Study


Step 1: Learning Objectives

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

blank image