Confounders vs. Mediators: Don't Let Your Data Lie. #biostatistics #shorts

A confounding factor is a variable that is associated with both the exposure, which is your independent variable, and the outcome, which is the dependent variable, and can distort the true relationship between them. If confounding is not addressed appropriately, the study results may be misleading and lead to incorrect conclusions. So characteristics of co-founders. It is associated with exposure, so a founder who exposed a baby here or an outcome baby here. Remember this mediator: it is independently associated with your outcome. It is not an intermediate step in the cordial pathway between the exposure and outcome. #Confounders #mediators #dataanalysis #biostatistics #researchmethods #statisticalmodeling #causalinference #dataintegrity #epidemiology #quantitativeresearch