ABSTRACT: - THE STUDY AIMS TO DETERMINE THE FACTORS INFLUENCING THE LOSS OF EMBRYOS BY USING RANDOM MODELS: THE LEAST SQUARES REGRESSION MODEL, THE LOGISTIC REGRESSION AND THE SURVIVAL ANALYSIS, - 2 - COMPARING THEM THROUGH THE SELECTION FACTOR AND ANALYZING THE RELATION BETWEEN THE VARIABLES AND REACHING THE MOST IMPORTANT VARIABLES ON THIS LOSS. 400 CASES OF ABORTION, REPRESENTING 75% OF THE CASES, AND 100 CASES OF LIVE BIRTHS REPRESENTING 25% OF THE CASES DUE TO THE CIRCUMSTANCES EXPERIENCED BY THE COUNTRY. IT IS CLEAR FROM THE RESULTS THAT THE VALUES OF THE SQUARE OF KAY FOR ALL VARIABLES ARE STATISTICALLY SIGNIFICANT AT THE LEVEL OF 0.05 OR LESS WORK DONE HUSBAND AND NATURE OF RESIDENCE. THE RESULTS SHOW ALSO A SIGNIFICANT OF REGRESSION IN THE LOWER SQUARES METHOD. THERE WAS A SIGNIFICANT REGRESSION RELATIONSHIP BETWEEN PREGNANCY OUTCOMES AND INDEPENDENT STUDY VARIABLES ACCORDING TO F TEST AT A SIGNIFICANT LEVEL OF 0.05. IN EXAMINING THE VALUE OF THE R2 FACTOR, THE EXPLANATORY CAPACITY OF THE ESTIMATED MODEL WAS 77.7% (22.3%). THE RESULTS OF LOGISTIC REGRESSION (R89%) AND SURVIVAL (R90) WERE SIGNIFICANT. THIS INDICATES THAT THE SUGGESTED VARIABLES HAVE A DIRECT EFFECT ON THE LOSS OF EMBRYO