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基于累积Logits转移模型的有序睡眠障碍数据的研究

Study of Based on Cumulative Logits Transition Model for Analyzing the Ordinal Data of Sleep Disorder
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摘要 主要采用累积Logits转移模型分析有序纵向睡眠障碍数据.目的是分析治疗具有睡眠障碍病人的新药的疗效是否显著;起始时刻分到新药组和安慰剂组的人数是否做到随机性;以及经过一段时间的治疗,药物对每类病人的疗效如何.结论表明,整体上来说,药物的疗效显著;起始条件是随机的;药物对病情不同的病人疗效不同,对病情较严重的病人,药物的疗效更显著. Using the cumulative Logits transition model to analyze the ordinal longitudinal sleep disorder data in this paper. The object is to analyze whether the effect of a new drug in the treatment of patients with sleep disorder is significant; whether the two groups of new drug and placebo are randomized in starting time; after a period of treatment, the efficacy of the new drug to each category of patients. Results show that, on the whole, the new drug has obvious effect; initial condition is randomized; Efficacy for each category of patients is different, patients with more severe disease, the efficacy of the drug is more significant.
出处 《数学的实践与认识》 北大核心 2016年第16期128-132,共5页 Mathematics in Practice and Theory
基金 国家自然科学基金(11371083)
关键词 有序变量 累积Logits转移模型 睡眠障碍数据 ordinal variables cumulative logits transition model sleep disorder data
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参考文献5

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二级参考文献1

  • 1SAS Institute Inc.,SAS/STAT User's Guide,Release 9.0.

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