Second, in certain circumstances relapse investigation can be utilized to deduce causal connections between the free and ward factors. Critically, relapses without anyone else just uncover connections between a reliant variable and an assortment of autonomous factors in a fixed dataset. To involve relapses for forecast or to construe causal connections, separately, a specialist should cautiously legitimize why existing connections have prescient power for another unique situation or why a connection between two factors has a causal understanding. The last option is particularly significant when scientists desire to assess causal connections utilizing observational data.[2][3]