A mixed methods study: Midlife African American women’s knowledge,beliefs, and barriers to well-woman visit,flu vaccine,and mammogram use

ABSTRACT

African American women (AAW) are particularly at risk for deleterious health outcomes that might be mitigated through increased preventive care use. A mixed methods study that examined relationships between knowledge of, beliefs about, and barriers to well-woman visits, flu vaccines, and mammograms was conducted with midlife AAW who participated in an online survey (n = 124) and in-depth interviews (n = 19). Findings showed that greater knowledge of preventive service recommendations and positive patient-provider relationships were associated with greater preventive service use. Flu vaccines were significantly underused. Study implications inform strategies to increase preventive care utilization among AAW and increase capacities to improve health disparities.     

Big Data and Social Indicators: Actual Trends and New Perspectives

Big Data are a top subject in international research articles and a vast debate is taking place on their actual capability of being used to complement or even substitute official statistics surveys and social indicators in particular. In this paper we analyse the metadata of the Scopus database of academic articles on Big Data and we show that most of the existing and intensively growing literature is focused on software and computational issues whilst articles that are specifically focused on statistical issues and on the procedures to build social indicators from Big Data are a much smaller share of this vast production. Nevertheless the works that focus on these topics show promising results because in developed countries Big Data seem to be a good information base to create reliable proxies of social indicators, whereas in developing countries their use (for instance using satellite images) may be a viable alternative to traditional surveys. However, Big Data based social indicators deeply suffer of a number of open issues that affect their actual use: they do not correspond to any sampling scheme and they are often representative of particular segments of the population; they generally are private process-produced data whose access by national statistical offices is rarely possible although the intrinsic value of the information contained in Big Data has a social importance that should be shared with the whole community; Big Data lack the socio-economic background on which social indicators have been founded and their help to policy makers in their decision process is a fully open point. Therefore Big Data may be a big opportunity for the definition of traditional or new social indicators but their statistical reliability should be further investigated and their availability and use should be internationally coordinated.     

New algorithms for k-center and extensions

The problem of interest is covering a given point set with homothetic copies of several convex containers C ₁,…,C _k , while the objective is to minimize the maximum over the dilatation factors. Such k-containment problems arise in various applications, e.g. in facility location, shape fitting, data classification or clustering. So far most attention has been paid to the special case of the Euclidean k-center problem, where all containers C _i are Euclidean unit balls. Recent developments based on so-called core-sets enable not only better theoretical bounds in the running time of approximation algorithms but also improvements in practically solvable input sizes. Here, we present some new geometric inequalities and a Mixed-Integer-Convex-Programming formulation. Both are used in a very effective branch-and-bound routine which not only improves on best known running times in the Euclidean case but also handles general and even different containers among the C _i .     

Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences

This article documents macroeconomic forecasting during the global financial crisis by two key central banks: the European Central Bank and the Federal Reserve Bank of New York. The article is the result of a collaborative effort between staff at the two institutions, allowing us to study the time-stamped forecasts as they were made throughout the crisis. The analysis does not exclusively focus on point forecast performance. It also examines methodological contributions, including how financial market data could have been incorporated into the forecasting process.     

Education and Union Formation as Simultaneous in Italy and Spain

Both the time spent in education and the age at first union have substantially increased in Italy and Spain. We show that exit from education and union formation are simultaneous processes. We use the European Community Household Panel providing standardised information. The effect of unobserved characteristics on both processes is controlled for using simultaneous hazard modelling. We find that the exit from education increases the risk of entering the first union, and that individual unobserved characteristics influence the occurrence of the two processes simultaneously. Ignoring these characteristics would overestimate the effect of exit from education on union formation.     

Comparison of sample size formulae for 2 × 2 cross‐over designs applied to bioequivalence studies

We consider the comparison of two formulations in terms of average bioequivalence using the 2 × 2 cross‐over design. In a bioequivalence study, the primary outcome is a pharmacokinetic measure, such as the area under the plasma concentration by time curve, which is usually assumed to have a lognormal distribution. The criterion typically used for claiming bioequivalence is that the 90% confidence interval for the ratio of the means should lie within the interval (0.80, 1.25), or equivalently the 90% confidence interval for the differences in the means on the natural log scale should be within the interval (?0.2231, 0.2231). We compare the gold standard method for calculation of the sample size based on the non‐central t distribution with those based on the central t and normal distributions. In practice, the differences between the various approaches are likely to be small. Further approximations to the power function are sometimes used to simplify the calculations. These approximations should be used with caution, because the sample size required for a desirable level of power might be under‐ or overestimated compared to the gold standard method. However, in some situations the approximate methods produce very similar sample sizes to the gold standard method. Copyright © 2005 John Wiley & Sons, Ltd.     

USING BASEBALL CARD PRICES TO MEASURE STAR QUALITY AND MONOPSONY

Baseball card prices are used to capture star quality in a new measure of productivity in Major League Baseball. Star quality, which impacts revenues, is determined from a player's baseball card price as the residual in a fit of card prices to performance statistics. This measure is entered into the computation of individual player marginal revenue product and compared to players' salaries using data from the four years leading up to the 1994 MLB strike. Results are examined for monopsonistic exploitation by market size, free agency status, type of player, and other relevant categories. Underpaid and overpaid players are identified.