It is important to reduce the effects of confounding variables on study results. All of the following are examples of methods to reduce or adjust the effects of confounding variables on a study except: Group of answer choices A randomized controlled experiment Multivariant regression analysis Assuring that each cases and controls in matched pairs are matched exactly for all characteristics and variables Determining possible confounding variables at the start of the study