@article{oai:tsukuba.repo.nii.ac.jp:00046543,
 author = {丸尾, 和司 and 五所, 正彦 and Maruo, Kazushi and Tada, Keisuke and Ishii, Ryota and Gosho, Masahiko},
 issue = {1},
 journal = {Statistics in Biopharmaceutical Research},
 month = {Mar},
 note = {While planning clinical trials, when simple formulas are unavailable to calculate sample size, statistical simulations are used instead. However, one has to spend much computation time obtaining adequately precise and accurate simulated sample size estimates, especially when there are many scenarios for the planning and/or the specified statistical method is complicated. In this article, we summarize the theoretical aspect of statistical simulation-based sample size calculation. Then, we propose a new simulation procedure for sample size calculation by fitting the probit model to simulation result data. From the theoretical and simulation-based evaluations, it is suggested that the proposed simulation procedure provide more efficient and accurate sample size estimates than ordinary algorithm-based simulation procedure especially when estimated sample sizes are moderate to large, therefore it would help to dramatically reduce the computational time required to conduct clinical trial simulations.},
 pages = {1--8},
 title = {An Efficient Procedure for Calculating Sample Size Through Statistical Simulations},
 volume = {10},
 year = {2018}
}