Systematic errors can lead to biased estimates and invalid conclusions. For instance, selection bias occurs when the study population is not representative of the target population, leading to skewed results. Information bias arises from incorrect or inconsistent data collection methods, while confounding occurs when an extraneous variable influences the relationship between the study variables.