Digital Module 16: Longitudinal Data Analysis

In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module begins with a nontechnical overview of longitudinal data analyses drawing distinctions with cross-sectional analyses in terms of research questions to be addressed. Nuances of longitudinal designs, timing of measurements, and the real possibility of missing data are then discussed. The three interconnected components of the LME model—(1) a model for individual and mean response profiles, (2) a model to characterize the covariation among the time-specific residuals, and (3) a set of models that summarize the extent that individual coefficients vary—are discussed in the context of the set of activities comprising an analysis. Finally, they demonstrate how to estimate the linear mixed effects model within an open-source environment (R). The digital module contains sample R code, diagnostic quiz questions, hands-on activities in R, curated resources, and a glossary.     

Power Struggles,Regulation and Responsibility

This article explores the relationship between the British Board of Film Classification (BBFC) and government during the implementation of the Video Recordings Act (VRA). It considers the public Parliamentary debates about the VRA, and places them alongside private correspondence between the Home Office and the BBFC, and internal BBFC material from the recently catalogued James Ferman papers held at the BFI. As well as exploring the introduction of the VRA, this article also aims to briefly consider its implications for the BBFC, how they set about interpreting and implementing its stringent recommendations and how this impacted upon the organisational working practices of the Board. While the VRA was without doubt one of the most significant pieces of legislation within the history of film regulation in Britain, the time is ripe for its reappraisal and with it a re-evaluation of the role played by the BBFC in securing statutory regulatory powers.     

中文电子病历的分词及实体识别研究

[目的/意义]健康医疗大数据是我国重要的基础性战略资源，本研究对中文电子病历分词与实体识别的探讨与实证较好地完成了医疗数据的信息抽取任务，对今后医疗大数据在语义层面的应用发展具有重要意义。[方法/过程]本研究首先融合权威词表、官方标准、健康网站数据及其他医学补充词库构建了词语数量级达到10万的医学词表；然后对电子病历的字段进行分词，对比了jieba工具、导入词典后的jieba、无监督学习及AC自动机4种模型的分词效果；最后，以自动分词和人工标注结果为语料，实现基于条件随机场的电子病历实体识别研究，并比较不同实体类别以及不同文本特征下的实体识别效果，选出最优模板。[结果/结论]分词结果显示，AC自动机的效果最好，F值可达82%；实体识别结果表明，"检查"和"疾病"实体的识别效果最好，而"症状"的识别效果不太理想。     

An NCME Instructional Module on Data Mining Methods for Classification and Regression

Data mining methods for classification and regression are becoming increasingly popular in various scientific fields. However, these methods have not been explored much in educational measurement. This module first provides a review, which should be accessible to a wide audience in education measurement, of some of these methods. The module then demonstrates using three real‐data examples that these methods may lead to an improvement over traditionally used methods such as linear and logistic regression in educational measurement.     

Prejudices Unshelved: Variation in Attitudes toward Controversial Public Library Materials in the General Social Survey, 1972–2014

Using the General Social Survey from 1972–2014, we examine variation in attitudes toward retaining controversial materials in libraries. Previously controversial topics have become much more widely accepted. We find that other controversies remain, showing how global conflicts become intertwined in local cultural controversies, and how the perceived threat from particular groups informs public concern with disseminating information from those groups. We find that more frequent library users are somewhat less likely to want to remove controversial books from the shelves, although some of these relationships are explained by variation in the respondent’s age, race, and other characteristics.     

学术文献引文上下文自动识别研究

[目的/意义] 引文内容分析能够帮助揭示文献引用关系的深层语义内涵,而引文上下文识别作为引文内容分析的基础显得尤为重要。[方法/过程] 梳理已有引文上下文研究的现状,总结当前引文上下文识别的不足,在此基础上归纳引文上下文识别的5类特征,并采用文本分类和序列标注两种方法开展引文上下文自动识别实验。[结果/结论] 实验结果表明,本文提出的特征能够很好地提升引文上下文识别效果,且基于文本分类的SVM分类效果要优于基于序列标注的CRF。     

最优购书量的讨论

运用概率论和微分学的知识,讨论在一定的广告费用和书本贮存费用的情况下,根据图书的购进价和售出价确定书店的最优购书量．     

一类随机向量函数序列的依概率收敛性

将依概率收敛的一维随机变量序列的连续函数仍依概率收敛的结论推广到随机向量序列的情形。     

随机变量的熵与标准熵

本文研究随机变量的熵与标准熵、标准差之间的关系,得出的结论是:对于离散型的随机变量熵与标准熵相等,与标准差无关;对于连续型随机变量ξ(ξ是的ξ标准化随机变量),熵H(ξ)等于它的标准熵H(ξ)加标准差的对数σ。从而揭示出两类常见的随机变量之间的本质性差异:离散型随机变量的不确定度与离散度无关,连续型随机变量的不确定度与离散度(标准差)呈对数关系。     

基于两个GFSRG的组合随机数发生器

随机数是蒙特卡罗(Monte Carlo)方法的关键因素.首先给出一种广义反馈位移寄存器发生器及其缺点,然后在此基础上提出一种基于两个广义反馈位移寄存器方法的组合随机数发生器,最后给出一些严密的统计检验,结果证明这种组合随机数发生器不失为一种较好的随机数发生器.