2×2 교차계획법에서 결측치가 있을 때의 결측치 처리 방법 비교에 관한 연구 = Comparison of Single Imputation Methods in 2×2 Cross-Over Design with Missing Observations

다국어 초록 (Multilingual Abstract)

A cross-over design is frequently used in clinical trials (especially in bioequivalence tests with a parametric method) for the comparison of two treatments. Missing values frequently take place in cross-over designs in the second period. Usually, subjects that have missing values are removed and analyzed. However, it can be unsuitable in clinical trials with a small sample size. In this paper, we compare single imputation methods in a $2{\times}2$ cross-over design when missing values exist in the second period. Additionally, parametric and nonparametric methods are compared after applying single imputation methods. A Monte-Carlo simulation study compares type I error and the power of methods.

참고문헌 (Reference)

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