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Information Journal Paper

Title

GENERATION OF DATA WITH SPECIFIC MARGINAL RISK DIFFERENCE

Pages

  76-82

Abstract

 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.

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    APA: Copy

    MOHAMMAD, KAZEM, MANSOURNIA, MOHAMMAD ALI, & Gharibzadeh, Safoora. (2017). GENERATION OF DATA WITH SPECIFIC MARGINAL RISK DIFFERENCE. JOURNAL OF BIOSTATISTICS AND EPIDEMIOLOGY, 3(3-4), 76-82. SID. https://sid.ir/paper/308488/en

    Vancouver: Copy

    MOHAMMAD KAZEM, MANSOURNIA MOHAMMAD ALI, Gharibzadeh Safoora. GENERATION OF DATA WITH SPECIFIC MARGINAL RISK DIFFERENCE. JOURNAL OF BIOSTATISTICS AND EPIDEMIOLOGY[Internet]. 2017;3(3-4):76-82. Available from: https://sid.ir/paper/308488/en

    IEEE: Copy

    KAZEM MOHAMMAD, MOHAMMAD ALI MANSOURNIA, and Safoora Gharibzadeh, “GENERATION OF DATA WITH SPECIFIC MARGINAL RISK DIFFERENCE,” JOURNAL OF BIOSTATISTICS AND EPIDEMIOLOGY, vol. 3, no. 3-4, pp. 76–82, 2017, [Online]. Available: https://sid.ir/paper/308488/en

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