Using a monotone single-index model to stabilize the propensity score in missing data problems and causal inference

The augmented inverse weighting method is one of the most popular methods for estimating the mean of the response in causal inference and missing data problems. An important component of this method is the propensity score. Popular parametric models for the propensity score include the logistic, probit, and complementary log-log models. A common feature of these models is that the propensity score is a monotonic function of a linear combination of the explanatory variables. To avoid the need to choose a model, we model the propensity score via a semiparametric single-index model, in which the score is an unknown monotonic nondecreasing function of the given single index. Under this new model, the augmented inverse weighting estimator (AIWE) of the mean of the response is asymptotically linear, semiparametrically efficient, and more robust than existing estimators. Moreover, we have made a surprising observation. The inverse probability weighting and AIWEs based on a correctly specified parametric model may have worse performance than their counterparts based on a nonparametric model. A heuristic explanation of this phenomenon is provided. A real-data example is used to illustrate the proposed methods.     

大数据背景下医学生数据素养培养研究

介绍数据素养概念，从教学目标、方法、过程几方面探讨大数据背景下医学生数据素养培养模式，指出该模式有助于提高医学生数据分析与挖掘能力，树立数据意识和数据伦理，提升数据素养。     

大承气汤加减治疗脑病医案3则

通过病案举例,介绍大承气汤在中医脑病治疗中的使用技巧,说明大承气汤可以运用于出血性中风头痛、癫痫、失眠等多种脑病的治疗,疗效显著。大承气汤具有通腑泄热、祛邪外出的作用。对于六经辨证属阳明腑实证者,无论病种,皆可用大承气汤加味化裁。     

监测数据统计分析模型在生态学研究中的应用

近年来，环境监测、疾病监测等各种监测网络不断健全，监测系统成为开展生态学研究的重要数据来源。监测数据类型包括了横断面数据、时间序列数据和面板数据，涉及暴露、结局和混杂3个维度。针对该数据的信息属性和结构特点，相关统计学方法逐渐发展完善，出现了一些新的方法、模型。基于数据的时空属性，本文对监测数据在生态学研究中常用模型的原理、适用条件及优劣进行了综述。     

大数据在中医领域中的癌症预防方面研究

随着现代医疗体系不断完善,癌症治愈率与生存率明显提高,但癌症治疗占据大量医疗资源,治疗过程严重损伤患者的机体,并且治疗费用昂贵。癌症治疗重在"早预防、早发现、早治疗"。本文积极推进中医癌症预防措施,以中医预防大数据平台为手段,实现与地方其他部门的深度融合,构建地区中医预防癌症大数据体系,推动中医资源预防癌症的实效性,努力发挥中医治疗领域大数据作用,为降低居民恶性癌症发病率奠定坚实的基础。     

医用退热贴冷敷治疗产后生理性乳房胀痛的效果观察

目的 比较医用退热贴冷敷及卷心菜叶外敷2种方法对缓解产后生理性乳房胀痛的疗效。方法 选取2018年3-12月在产科住院的产后生理性乳房胀痛的患者100例为研究对象,将其随机分为对照组和观察组,各50例。对照组采用卷心菜叶外敷,观察组采用医用退热贴冷敷。结果 观察组产后生理性胀痛乳房评分低于对照组(Z=-2.568,P=0.010),乳房硬度优于对照组(Z=-4.361,P<0.001),使用维持时间长于对照组(t=19.804,P＜0.001)。结论 医用退热贴冷敷用于产后生理性乳房胀痛效果理想,操作方法简单易行,实施方便,易被产妇接受,值得临床推广应用。     

National level data analysis of facial lacerations in Korea using the National Health Insurance Service (NHIS) database

No national epidemiological investigations have been conducted recently regarding facial lacerations. The study was performed using the data of 3,634,229 people during the 5-year period from 2014 to 2018 archived by the National Health Information Database (NHID) of the Health Insurance Review and Assessment Service. Preschool and children under 10 years old accounted for about one-third of patients. Facial lacerations were concentrated in the “T-shaped” area, which comprised forehead, nose, lips, and the perioral area. The male to female ratio for all study subjects was 2.16:1. Age and gender are significantly related with each other (P < .001). Mean hospital stays decreased, and numbers of outpatient department visits per patient were highest for hospitals and lowest for health agencies. Over the study period, hospital costs per patient in tertiary and general hospitals increased gradually. Preschool and school-aged children are vulnerable to trauma. Male patients outnumbered female patients by a factor of more than 2. The “T-shaped’” area around forehead is vulnerable to injury. Total cost of medical care benefits per patient in tertiary hospitals was about 7 times on average than in health agencies. Regarding functional, behavioral, and aesthetic outcomes, more attention should be paid to epidemiologic data and hospital costs for facial lacerations.