目的比较辽吉两地传染病监测结果的风险信息的有效利用程度,明确信息有效利用的内涵及意义,尝试量化表达信息有效利用的程度并验证其可行性。方法从政府、卫计委、疾控等机构的官方网站以及中国知网、web of science等公开信息渠道系统...目的比较辽吉两地传染病监测结果的风险信息的有效利用程度,明确信息有效利用的内涵及意义,尝试量化表达信息有效利用的程度并验证其可行性。方法从政府、卫计委、疾控等机构的官方网站以及中国知网、web of science等公开信息渠道系统收集利用监测系统发布的涉及传染病风险的公开信息和文献,统计两地利用传染病监测信息系统发布的传染病健康风险识别、预警、干预、干预效果评估的信息资料,运用量化趋势分析法比较辽吉两地的突发传染病领域内的信息的有效利用程度,运用Spearman相关分析信息的有效利用程度与突发领域防制效果之间的关系。结果吉林省传染病监测信息有效利用的程度是由2008年的0.00%上升至2017年的1.60%,而辽宁省的传染病监测信息有效利用的程度从2008年的1.70%波动下降至2017年的1.5%,吉林省的信息有效利用的程度与突发传染病领域防制效果呈正相关,而辽宁省则无相关性。结论为完善突发卫生领域的应急保障体系,政府相关部门应实时分析与充分利用各类突发应急信息、提升健康信息的可识别性,以便进行科学决策。辽吉两地卫生应急领域的信息系统有效利用信息的程度仍需进一步提高,研究结果表明,对两省的传染病应急体系信息有效利用程度的量化分析是可行的。展开更多
Receiver operating characteristic （ROC） curve is often used to study and compare two- sample problems in medicine. When more information may be available on one treatment than the other, one can improve estimator of...Receiver operating characteristic （ROC） curve is often used to study and compare two- sample problems in medicine. When more information may be available on one treatment than the other, one can improve estimator of ROC curve if the auxiliary population information is taken into account. The authors show that the empirical likelihood method can be naturally adapted to make efficient use of the auxiliary information to such problems. The authors propose a smoothed empirical likelihood estimator for ROC curve with some auxiliary information in medical studies. The proposed estimates are more efficient than those ROC estimators without any auxiliary information, in the sense of comparing asymptotic variances and mean squared error （MSE）. Some asymptotic properties for the empirical likelihood estimation of ROC curve are established. A simulation study is presented to demonstrate the performance of the proposed estimators.展开更多
文摘目的比较辽吉两地传染病监测结果的风险信息的有效利用程度,明确信息有效利用的内涵及意义,尝试量化表达信息有效利用的程度并验证其可行性。方法从政府、卫计委、疾控等机构的官方网站以及中国知网、web of science等公开信息渠道系统收集利用监测系统发布的涉及传染病风险的公开信息和文献,统计两地利用传染病监测信息系统发布的传染病健康风险识别、预警、干预、干预效果评估的信息资料,运用量化趋势分析法比较辽吉两地的突发传染病领域内的信息的有效利用程度,运用Spearman相关分析信息的有效利用程度与突发领域防制效果之间的关系。结果吉林省传染病监测信息有效利用的程度是由2008年的0.00%上升至2017年的1.60%,而辽宁省的传染病监测信息有效利用的程度从2008年的1.70%波动下降至2017年的1.5%,吉林省的信息有效利用的程度与突发传染病领域防制效果呈正相关,而辽宁省则无相关性。结论为完善突发卫生领域的应急保障体系,政府相关部门应实时分析与充分利用各类突发应急信息、提升健康信息的可识别性,以便进行科学决策。辽吉两地卫生应急领域的信息系统有效利用信息的程度仍需进一步提高,研究结果表明,对两省的传染病应急体系信息有效利用程度的量化分析是可行的。
基金This research was partially supported by National Natural Science Funds for Distinguished Young Scholar under Grant No. 70825004 and National Natural Science Foundation of China （NSFC） under Grant No. 10731010, the National Basic Research Program under Grant No. 2007CB814902, Creative Research Groups of China under Grant No.10721101 and Shanghai University of Finance and Economics through Project 211 Phase III and Shanghai Leading Academic Discipline Project under Grant No. B803.
文摘Receiver operating characteristic （ROC） curve is often used to study and compare two- sample problems in medicine. When more information may be available on one treatment than the other, one can improve estimator of ROC curve if the auxiliary population information is taken into account. The authors show that the empirical likelihood method can be naturally adapted to make efficient use of the auxiliary information to such problems. The authors propose a smoothed empirical likelihood estimator for ROC curve with some auxiliary information in medical studies. The proposed estimates are more efficient than those ROC estimators without any auxiliary information, in the sense of comparing asymptotic variances and mean squared error （MSE）. Some asymptotic properties for the empirical likelihood estimation of ROC curve are established. A simulation study is presented to demonstrate the performance of the proposed estimators.
