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Journal of Biostatistics and Epidemiology، جلد ۳، شماره ۳-۴، صفحات ۷۶-۸۲
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Generation of data with specific marginal risk difference |
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| چکیده انگلیسی مقاله |
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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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
| Kazem Mohammad
Assistant Professor, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| Mohammad Ali Mansournia
Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| safoora gharibzadeh
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| نشانی اینترنتی |
http://jbe.tums.ac.ir/index.php/jbe/article/view/154 |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/362/article-362-712061.pdf |
| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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| نوع مقاله منتشر شده |
Original Article(s) |
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