Tehran University of Medical Sciences Journal of Biostatistics and Epidemiology 2383-4196 3 3/4 2018 07 11 76 82 EN Kazem Mohammad Professor, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran Mohammad Ali Mansournia Assistant Professor, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran Safoora Gharibzadeh Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran 2018 02 10 2018 07 10 Background & Aim: Simulation studies are important statistical tools to investigate the performance of statistical models in specific situations. For a binary outcome and exposure, one of the most important statistical measures will be the risk difference (RD). To assess the quality of estimators in estimating the effect of the exposure, a data set with a specific effect measure is require. Methods & Materials: Monte Carlo simulation can be helpful in situations when there is a proper data  generating  process.  In  this  paper,  another  technique  will  be  presented  to  generate  data  with specific marginal risk difference (MRD).  Results: Convergence of simulation methods in the same scenario reached in a few iterations using the proposed method.  Conclusion:  The  proposed  method  is  recommended  over  the  current  method  due  to  less  time consumption; this issue is important in studies with different scenarios.  https://jbe.tums.ac.ir/index.php/jbe/article/view/154 https://jbe.tums.ac.ir/index.php/jbe/article/download/154/82