A relevant question for the organization of large scale research assessments is whether bibliometric evaluation and informed peer review where reviewers know where the work was published, yield similar results. It would suggest, for instance, that less costly bibliometric evaluation might - at...

A relevant question for the organization of large scale research assessments is whether bibliometric evaluation and informed peer review where reviewers know where the work was published, yield similar results. It would suggest, for instance, that less costly bibliometric evaluation might - at...

A relevant question for the organization of large-scale research assessments is whether bibliometric evaluation and informed peer review yield similar results. In this paper, we draw on the experience of the panel that evaluated Italian research in Economics, Management and Statistics during the...

The Italian Research Evaluation exercise for the period 2004-2010 has analyzed almost 185,000 among articles, books, patents and other scientific products submitted by Italian Universities and other public research bodies. In most cases, scientific publications have been peer reviewed; however, in...

type="main" xml:id="rssa12027-abs-0001" <title type="main">Summary</title> <p>Population-based surveys are often considered the ‘gold standard’ to estimate the prevalence of human immunodeficiency virus (HIV) but typically suffer from serious missing data problems. This causes considerable uncertainty about HIV...</p>

Good estimates of HIV prevalence are important for policy makers in order to plan control programs and interventions. Although population-based surveys are now considered the "gold standard" to monitor the HIV epidemic, they are usually plagued by problems of nonignorable nonresponse. This paper...

We consider estimation of a linear regression model using data where some covariate values are missing but imputations are available to fill in the miss- ing values. This situation generates a tradeoff between bias and precision when estimating the regression parameters of interest. Using only...

This paper considers estimation of a linear regression model using data where some covariate values are missing but imputations are available to fill-in the missing values. The availability of imputations generates a trade-off between bias and precision in the estimators of the regression...