Background: Cardiovascular disease is considered as one of the most common diseases, causing many deaths worldwide annually. Objectives: The current study was aimed at diagnosing influencing factors of cardiovascular disease by comparison between implicational Logit and Probit models.Patients and Methods: This work is based on a study group approved by Mashhad University of Medical Sciences with the code of 85134 (Mashhad Study). Information was collected by the stratified-cluster sampling method and registering more than 7603 people randomly from Mashhad city. From them 682 were patients with cardiovascular disease. Data was analyzed using statistical Logit and Probit models.Results: After analyzing linearity and interactional effects between variables, by considering the other variables unchanged, the Odd Ratio of sex, age, high density lipoprotein-cholesterol (hdl-c), systolic blood pressure (sys-bp), body mass index (BMI), smoking, total cholesterol, High-Sensitivity C-Reactive Protein (hs-CRP) and history on cardiovascular disease were 4.231, 2.70, 0.98, 3.8, 3.421, 2.014, 1.5, 1.7 and 7.215 respectively.Conclusions: Independent variables such as sex, age, hdl-c, sys-bp, BMI, smoking, cholesterol and hs-CRP were considered as influencing variables, and education, marital status, disease history, height, waist circumference, diastolic blood pressure and low density lipoprotein were removed from the models.