Asked by: Ardelle Tesan
Asked in category: medical health, diabetes
Last Updated: 30th Nov 2022

How can you compensate for confounding?

You can modify a study design in a number of ways to exclude or control confounding variables. These include Randomization, Restriction, and Matching. Randomization is the random assignment of study subjects into exposure categories in order to break any connections between exposure and confounders.

How do you adjust a confusing variable?

CONTROL CONFUNDING Confounding, unlike other types of bias can be controlled by using randomization, restriction or matching after a study has been completed.

How does randomization reduce confusion? Randomization is an experimental design technique that allows control over variables that are not (or should not) be constant. This minimizes the risk of confounding by creating groups that are comparable to confounding variables.

People often ask: How do you manage confounding?

Confounding Strategies:

  1. Randomization (aim: random distribution of confounders among study groups)
  2. Restriction (restrict entry for study of individuals with confounding variables - risk bias in itself
  3. Matching (of individuals or groups) aims for equal distribution of confounders

What does validity look like when there are confounding variables?

Confounding variables, also known as third variables, are variables that the researcher did not control or eliminate. They can be detrimental to the internal validity of an experiment.