A Logistic regression model will include all the confounding variables to for check their contribution to the primary outcome. The variables that we are going to control for include: need for tocolysis, BMI, smoking, assisted reproductive technology, prior preterm delivery, prior term delivery, spontaneous or reduced twins, etc ….