Generation of data with specific marginal risk difference
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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| Files | ||
| Issue | Vol 3 No 3/4 (2017) | |
| Section | Original Article(s) | |
| Keywords | ||
| Data systems Risk ratio Causality Computer simulation Monte Carlo method | ||
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