• 1. Department of Epidemiology and Biostatistics, West China School of Public Health; 2. Department of Ultrasound, West China Hospital; 3. National Clinical Trials Agencies, West China Hospital; Sichuan University, Chengdu, Sichuan 610041, P. R. China;
FENG Ping., Email: zhangwei19880404@163.com
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目的  应用基于链式方程的填补方法处理医学研究中的数据缺失,并以填补后完全数据构建联合指标的logistic判别函数,判断其在前列腺癌的预测诊断中的应用价值。 方法  采用模拟研究,针对现实数据缺失情况模拟不同填补集结果,并以此对现实数据进行填补,以完整数据构建logistic判别,进行分析预测。 结果  填补结果随着填补次数的增加而逐渐接近真实值并趋于稳定。联合年龄、血清前列腺特异性抗原值、血流阻力指数及经直肠前列腺超声检查指标的logistic判别分析结果的灵敏度为82.39%,特异度为74.86%。 结论  联合指标分析可提高前列腺癌的诊断预测水平,以减轻患者穿刺痛苦。

Citation: ZHANG Wei,YUAN Jiaying,LI Yongzhong,LI Mei,GOU Zhongping,FENG Ping.. Logistic Discriminant Analysis in Diagnosing Prostate Cancer Based on Chained Equation. West China Medical Journal, 2013, 28(2): 200-203. doi: DOI: 10.7507/1002-0179.20130064 Copy

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