Discourse anaphora in Turkish as mother tongue

The present paper researches the abilities of Turkish adults from Bulgaria to create narratives. It analyses the narratives of the adults using discourse strategies. The findings show some problems of bilingual adults in creating narratives which are not discussed in the scientific literature. This paper brings some new knowledge to the field of bilingual narrative analysis.     

Variance estimation for the 2006 French housing survey

In the 2006 French housing survey, information is collected on many aspects of housing to describe the housing stock in France and the housing conditions of French households. The basic national sample results from a multistage sampling design. Complementary samples were selected to perform accurate estimations for socio-demographic domains. Some French regions proceeded to a regional and local extension of the national sample. The variance is estimated for a region with a regional and local extension of the basic national sample.     

Improved randomized response in additive scrambling models

Randomized response models deal with stigmatizing variables appearing in health surveys. Additive and subtractive scrambling in split sample and double response yield unbiased mean and sensitivity estimators of high precision. The split sample method is protective of privacy. The double response method is as protective only conditionally. To achieve the maximum efficiency, the scrambling variables must be similar to each other and the probability of obtaining a true response must be as large as possible. The randomized response procedures yield more efficient estimates of the average total number of classes missed by university students.     

瑞典修改《医疗生物银行法》对我国的启示

瑞典的《医疗生物银行法》在实施过程中出现适用范围有限、伦理原则缺失、有关职责界定不清等问题,科学界和医疗界提议出台新的生物银行法以替代旧法,促进医疗领域健康发展。瑞典新的生物银行法报告在尊重个体完整和隐私的前提下,将监管所有人类组织样本的收集、存储和使用,并将完善样本捐献者的知情同意,强化样本捐献者的自决权,增加可追溯性规定和样本库个人资料处理原则,申明生物样本跨界合作的安全问题,对正在修订《涉及人的生物医学研究伦理审查办法》的我国具有借鉴意义。     

Retrospective change detection in categorical time series

The aim of this paper is to propose methods of detecting change in the coefficients of a multinomial logistic regression model for categorical time series offline. The alternatives to the null hypothesis of stationarity can be either the hypothesis that it is not true, or that there is a temporary change in the sequence. We use the efficient score vector of the partial likelihood function. This has several advantages. First, the alternative value of the parameter does not have to be estimated; hence, we have a procedure that has a simple structure with only one parameter estimation using all available observations. This is in contrast with the generalized likelihood ratio-based change point tests. The efficient score vector is used in various ways. As a vector, its components correspond to the different components of the multinomial logistic regression model’s parameter vector. Using its quadratic form a test can be defined, where the presence of a change in any or all parameters is tested for. If there are too many parameters one can test for any subset while treating the rest as nuisance parameters. Our motivating example is a DNA sequence of four categories, and our test result shows that in the published data the distribution of the four categories is not stationary.     

Statistical modeling for Bayesian extrapolation of adult clinical trial information in pediatric drug evaluation

Children represent a large underserved population of “therapeutic orphans,” as an estimated 80% of children are treated off‐label. However, pediatric drug development often faces substantial challenges, including economic, logistical, technical, and ethical barriers, among others. Among many efforts trying to remove these barriers, increased recent attention has been paid to extrapolation; that is, the leveraging of available data from adults or older age groups to draw conclusions for the pediatric population. The Bayesian statistical paradigm is natural in this setting, as it permits the combining (or “borrowing”) of information across disparate sources, such as the adult and pediatric data. In this paper, authored by the pediatric subteam of the Drug Information Association Bayesian Scientific Working Group and Adaptive Design Working Group, we develop, illustrate, and provide suggestions on Bayesian statistical methods that could be used to design improved pediatric development programs that use all available information in the most efficient manner. A variety of relevant Bayesian approaches are described, several of which are illustrated through 2 case studies: extrapolating adult efficacy data to expand the labeling for Remicade to include pediatric ulcerative colitis and extrapolating adult exposure‐response information for antiepileptic drugs to pediatrics.     

Sample size estimation for comparing rates of change in K-group repeated count outcomes

Sample size estimation for comparing the rates of change in two-arm repeated measurements has been investigated by many investigators. In contrast, the literature has paid relatively less attention to sample size estimation for studies with multi-arm repeated measurements where the design and data analysis can be more complex than two-arm trials. For continuous outcomes, Jung and Ahn (2004 Jung, S., Ahn, C. (2004). K-sample test and sample size calculation for comparing slopes in data with repeated measurements. Biometrical J. 46(5):554–564.[Crossref], [Web of Science ®] , [Google Scholar]) and Zhang and Ahn (2013 Zhang, S., Ahn, C. (2013). Sample size calculation for comparing time-averaged responses in k-group repeated measurement studies. Comput. Stat. Data Anal. 58:283–291.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) have presented sample size formulas to compare the rates of change and time-averaged responses in multi-arm trials, using the generalized estimating equation (GEE) approach. To our knowledge, there has been no corresponding development for multi-arm trials with count outcomes. We present a sample size formula for comparing the rates of change in multi-arm repeated count outcomes using the GEE approach that accommodates various correlation structures, missing data patterns, and unbalanced designs. We conduct simulation studies to assess the performance of the proposed sample size formula under a wide range of designing configurations. Simulation results suggest that empirical type I error and power are maintained close to their nominal levels. The proposed method is illustrated using an epileptic clinical trial example.     

不均等选择概率下的加权调整研究

从不均等选择概率的角度,提出两类常见的权数调整类型及其调整方法:一是规模调整,使得样本单元权数之和等于总体规模;二是结构调整,使得样本结构和总体结构一致,并构造出加权调整的设计效应模型,应用于复杂样本设计。案例分析显示,加权调整往往导致设计效应变大,带来负的效应,但校准调整能降低设计效应,提高估计精度。     

Knowledge and opinions of families regarding games—Toy selection for 6 to 12 year old children (the case of Northern Cyprus)

Games and toys are irreplaceable basic needs of children of almost every age. They are also some of the most significant traces of culture. Some of our games and toys lost their original functions, and it is not remembered why they were functionally significant in Turkish Cypriot culture. Families and cultural identity also play a major role regarding different factors leading to changes in toy selection. The purpose of this study is to explore the knowledge and opinions of families regarding games and, in particular, toy selection for 6–12 year old children of Turkish Cypriot families. A survey was administered to 100 households in North Cyprus, and was used as a data collection tool. It was found that the most important factors in the selection of children’s games and toys were (1) the economic opportunities, and (2) children’s desires for toys after seeing them with their friends. A considerable number of families in Northern Cyprus see game-toy selection as important in a child’s social, psychomotor, mental, and cultural construction. Families, especially those living with difficulties, indicated that they cannot afford enough time to encourage playing traditional games. Although new versions of traditional games and toys are being developed and used, it is seen that educated and high-income families are more conscious about the importance of having information about them than others.     

A study of quadratic inference functions with alternative weighting matrices

Quadratic inference function (QIF) is an alternative methodology to the popular generalized estimating equations (GEE) approach, it does not involve direct estimation of the correlation parameter, and thus remains optimal even if the working correlation structure is misspecified. The idea is to represent the inverse of the working correlation matrix by a linear combination of some basis matrices. In this article, we present a modification of QIF with a robust variance estimator of the extended score function. Theoretical and numerical results show that the modified QIF attains better efficiency and achieves better small sample performance than the original QIF method.