Estimating the parameters of a regression model of interest is complicated by missing data on the variables in that model. Multiple imputation is commonly used to handle these missing data. Joint model multiple imputation and full-conditional specification multiple imputation are known to yield imputed data with the same asymptotic distribution when the conditional models of full-conditional sp...

Considerable effort has gone into understanding issues of privacy protection of individual information in single databases, and various solutions have been proposed depending on the nature of the data, the ways in which the database will be used and the precise nature of the privacy protection being offered. Once data are merged across sources, however, the nature of the problem becomes far mor...

BACKGROUND Although obesity is increasing worldwide and becoming a major public health problem, some countries report a trend toward stabilization. We investigated prevalence trends in overweight/obesity and obesity among Korean adults during a 12-year period. METHODS This study was based on the Korean National Health and Nutrition Examination Survey (KNHANES) I (1998), II (2001), III (2005),...

In this study, the authors assessed men's and women's partner and parent physical aggression among 453 representatively sampled families with young children. The prevalences of partner aggression and of severe parent aggression were higher than previously reported. Substantial rates of co-occurrence were found. Risk ratios and regression analyses indicated that connections between (a) husbands'...

This paper presents a framework for the construction of a residential real estate price index for Jamaica. This real estate price index will consist of a sales value-weighted aggregation of price sub-indices across geographical regions or zones. In this study, a hedonic price imputation model for housing in the parishes of Kingston & St. Andrew is estimated using mortgage transaction and assess...

We develop a generally applicable framework for constructing efficient estimators of regression models via quantile regressions. The proposed method is based on optimally combining information over multiple quantiles and can be applied to a broad range of parametric and nonparametric settings. When combining information over a fixed number of quantiles, we derive an upper bound on the distance ...

As statistical classifiers become integrated into real-world applications, it is important to consider not only their accuracy but also their robustness to changes in the data distribution. In this paper, we consider the case where there is an unobserved confounding variable z that influences both the features x and the class variable y. When the influence of z changes from training to testing ...

This paper identifies a widely existing phenomenon in web data, which we call the “words of few mouths” phenomenon. This phenomenon, in the context of online reviews, refers to the case that a large fraction of the reviews are each voted only by very few users. We discuss the challenges of “words of few mouths” in the development of recommender systems based on users’ opinions and advocate prob...

The present study sought to define neighborhood context by examining relationships among data from city-level administrative databases at the level of the census block group. The present neighborhood investigation included 1,801 block groups comprising a large, northeastern metropolitan area. Common factor analyses and multistage, hierarchical cluster analyses yielded two dimensions (i.e., Soci...

This paper discusses the findings of two surveys, undertaken in 2000 and 2001, which investigated relationships between home energy efficiency, socio-economic status and respondent health. Data were collected through interviews with an informant from each household and energy surveys. Respondents were drawn from relatively poor households. The main health measure used in the analysis, responden...