Quantile regression and empirical likelihood for the analysis of longitudinal data with monotone missing responses due to dropout,with applications to quality of life measurements from clinical trials

The analysis of quality of life (QoL) data can be challenging due to the skewness of responses and the presence of missing data. In this paper, we propose a new weighted quantile regression method for estimating the conditional quantiles of QoL data with responses missing at random. The proposed method makes use of the correlation information within the same subject from an auxiliary mean regression model to enhance the estimation efficiency and takes into account of missing data mechanism. The asymptotic properties of the proposed estimator have been studied and simulations are also conducted to evaluate the performance of the proposed estimator. The proposed method has also been applied to the analysis of the QoL data from a clinical trial on early breast cancer, which motivated this study.     

2009-2019年西安市肺结核流行特征及治疗转归分析

目的 了解2009-2019年西安市肺结核的流行特征及治疗转归情况，为完善西安市肺结核防治策略提供依据。方法 收集2009-2019年《传染病信息管理系统》中登记的肺结核患者病案信息数据，通过描述性研究方法对肺结核流行病学特征和治疗转归情况进行分析。结果 2009-2019年间西安市肺结核年平均发病率为49.06/10万。郊县、郊区、城区肺结核年平均发病率分别为54.13/10万、47.46/10万和46.19/10万；男性发病率是女性的1.85倍。职业分布排在前5位的为农民（47.48%），家政、家务及待业（14.65%），离退人员（9.55%），学生（8.63%）和工人（5.23%）。利福平敏感或耐药性未知患者的成功治疗率平均为98.03%，利福平耐药患者治疗成功率为51.47%。结论 西安市近年来肺结核发病率和治疗率呈增长趋势，利福平耐药患者治疗成功率较低，要加强对重点人群的健康促进工作，加大肺结核发现力度及患者治疗管理工作。     

新生儿重症监护病房中重症肺炎多种菌感染相关因素分析

目的分析新生儿重症监护病房(NICU)中重症肺炎新生儿多种菌感染危险因素。方法回顾分析2014年1月至2019年5月收入NICU的1 057例重症细菌肺炎新生儿的临床资料,分析其多种菌感染的危险因素。结果单因素分析显示,胎龄(37周)、出生体质量(2 500 g)、发病日龄(7 d)、羊水污染(Ⅱ、Ⅲ度)、感染类型(医院感染)、住院时间(≥14天)、机械通气、Apagar评分(7分)、胎膜早破、抗菌药物使用天数(≥10天)、更换抗菌药物(≥3种)、联合使用抗菌药物(≥3种)12个因素是NICU中重症肺炎新生儿多种菌感染的危险因素,差异有统计学意义(P均0.05)。多因素分析显示,更换抗菌药物(≥3种)、Apagar评分(7分)、感染类型(医院感染)、机械通气、羊水污染(Ⅱ、Ⅲ度)是NICU中重症肺炎新生儿多种菌感染的独立危险因素(P0.05)。结论临床应针对主要危险因素采取综合防控措施,减少NICU新生儿重症肺炎多种菌感染。     

Multiple regression analysis of twin data obtained from selected samples

The multiple regression analysis of twin data in which a cotwin's score is predicted from that of a proband (the member of a twin pair selected because of a deviant score) and the coefficient of relationship provides a powerful test of genetic etiology (DeFries and Fulker: Behav Genet 15:467-473, 1985). Moreover, when an augmented model containing an interaction term is fitted to the same data set, direct estimates of heritability (h2) and the proportion of variance owing to shared environmental influences (c2) are also obtained. In the present paper, the expected partial regression coefficients estimated from these models are derived, and the flexibility of the general approach is illustrated. An extended model is formulated for the analysis of data from combined samples of affected and control twin pairs that yields tests for differential h2 and c2 in the two groups as well as pooled estimates of these parameters. The application of these models is illustrated by an analysis of data from reading-disabled and control twin pairs. Because of the ease, flexibility, and utility of the multiple regression analysis of twin data, it is an appealing alternative to more traditional model-fitting approaches.     

Spontaneous regression of a temporal arachnoid cyst

Surgery is considered to be the standard therapy for arachnoid cysts (ACs). We report the case of a 13-year-old boy in whom a right temporal AC disappeared spontaneously over a period of 10 years. Bulging of the right temporal skull led to the detection of the cyst by computed tomography (CT) scan at the age of 3 years. There were no other clinical symptoms. Subsequent CT scans showed spontaneous regression of the cyst without surgical intervention. The question as to how ACs should be treated is discussed.     

安氏Ⅲ类错畸形病因的logistic分析

目的研究引起安氏Ⅲ类错牙合畸形的病因。方法对50例安氏Ⅲ类错牙合患者和50例正常牙合人作病因问卷调查,将结果用logistic法分析,提取有效病因。结果共有慢性扁桃体炎、遗传因素、咬上唇3项病因进入方程。结论按贡献大小,长期慢性扁桃体炎、经常咬上唇和遗传因素是导致安氏Ⅲ类错牙合畸形的危险因素。     

阿拉善黄鼠疫源地动物鼠疫预报的数学模型

根据我国阿拉善黄鼠鼠疫自然疫源地1981～1993年鼠疫监测资料，采用多元逐步曲线回归分析，建立了预报阿拉善黄鼠鼠疫流行的数学模型，其拟合率为100%，并得出影响鼠疫流行的主要因子为黄鼠密度和巢蚤指数。     

鼻咽癌病因学的病例—对照研究

本文以病例—对照的方法探讨了在黑龙江省与鼻咽癌发生有关的危险因素。调查鼻咽癌病例及对照共127对。在单因素与条件Logistic回归分析中均表明幼儿期食咸鱼(OR=5.5, χ²=4.92, P<0.05)及长期生活在烧煤的环境中(OR=1.894, χ²=4.655, P<0.05)可能与鼻咽癌的发生有关。此外,条件Logistic回归分析还发现,鼻窦炎病史也可能与鼻咽癌的发生有联系(B=1.385, exp(B)=3,995, P<0.1)。在对病例及对照的一级亲属患恶性肿瘤情况的调查中发现,鼻咽癌病例组有肿瘤家族史者多于对照组,其差异有统计学意义(χ²=10.32, P<0.01)。     

Evaluating risk factors associated with severe hypoglycaemia in epidemiology studies—what method should we use?

AIMS: To determine the most appropriate regression models to use when assessing risk factors for severe hypoglycaemia and to investigate the impact of model misspecification and its clinical implications. METHODS: A total of 1229 children with Type 1 diabetes (mean age 11.7 years sd 4.1), of which 605 (49.2%) were males, were studied. Prospective assessment of severe hypoglycaemia (an event leading to loss of consciousness or seizure) was made over the 9-year period, 1992-2001. Patients were seen every 3 months and episodes of hypoglycaemia along with clinical data were recorded. Over 70% of children never experienced a severe hypoglycaemic event. Data were analysed using the Poisson regression, negative binomial, zero-inflated Poisson (ZIP) and zero-inflated negative binomial (ZINB) models. The over-dispersion and likelihood ratio statistics were calculated and the analytical methods compared. RESULTS: The Poisson regression model did not fit the data well. The negative binomial and the zero inflated Poisson and negative binomial models fitted the data better than Poisson. CONCLUSIONS: The commonly used Poisson regression models to analyse hypoglycaemia epidemiology may lead to biased parameter estimates and incorrect determination of risk factors for hypoglycaemia. We recommend the use of the negative binomial or zero inflated models to examine any risk factors associated with severe hypoglycaemia. Careful consideration must be given to the interpretation of hypoglycaemia surveys and their analysis.