identifying the causes

What is the Importance of Bias?

Bias refers to systematic errors that can affect the validity of study results. Common types of bias include:
- Selection Bias: Occurs when participants selected for the study are not representative of the target population.
- Information Bias: Arises from errors in measuring exposure or outcome.
- Recall Bias: Particularly relevant in case-control studies, where participants may not accurately remember past exposures.
Epidemiologists use careful study design and statistical techniques to minimize bias.

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