CAJ | 학술논문

需要治疗的病例数（NNT）是近年来国际上用于评价临床疗效的一个简单而有效的指标。运用鞍点逼近法构造了NNT的区间估计，并将其与Wald、Wilson score和Delta法进行比较。蒙特卡洛模拟研究结果表明，鞍点逼近法得到的区间估计覆盖率与名义水平接近程度总体上更高，平均区间长度更短，即鞍点逼近法优于Wald、Wilson score和Delta法。
수요치료적병례수（NNT）시근년래국제상용우평개림상료효적일개간단이유효적지표。운용안점핍근법구조료NNT적구간고계，병장기여Wald、Wilson score화Delta법진행비교。몽특잡락모의연구결과표명，안점핍근법득도적구간고계복개솔여명의수평접근정도총체상경고，평균구간장도경단，즉안점핍근법우우Wald、Wilson score화Delta법。
The number needed to treat (NNT ) is a simple and effective index for clinical therapeutic efficacy assessment internationally . In this paper , the saddle-point approximation method is applied to construct confidence interval for NNT .Monte Carlo simulation results show that coverage probability is higher and average interval length is shorter ,compared with Wald method ,Wilson score method and Delta method .So saddle-point approximation method is better than other methods .