Genetically Modified Organisms and the U.S. Retail Food Labeling Controversy: Consumer Perceptions,Regulation, and Public Policy

In this article, we address the public issue of mandatory Genetically Modified Organism (GMO) retail food labeling in the U.S., first by reviewing the policy arguments both in support and against labeling food containing GMOs; second, by describing the existing U.S. federal regulatory system pertaining to GMO labeling, and why it does not presently require labeling of food containing GMOs; third, by reviewing and interpreting the results of studies of American consumer attitudes toward mandatory GMO retail food labeling; fourth, by evaluating, through the utilization of issue life cycle analysis in the nonmarket environment, where the issue of GMO retail food labeling stands in the national public policy process; fifth, summarizing the state of scientific evidence addressing the safety of GMO foods and the existing regulatory and public policy environment for this issue; and sixth, offering legislative and litigation strategies for the mainstream food nonmarket strategy framework to formally assess the GMO industry to protect their interests and those of American consumers not concerned with GMO food ingredients, while offering a voluntary labeling strategy for firms responding to and recognizing the “rights” of American consumers who “choose” to purchase non‐GMO food products.     

Creating elder-friendly communities: preparations for an aging society

Because many communities where older people live were not designed for their needs, older residents may require support to remain in the least restrictive environment. "Age-prepared communities" utilize community planning and advocacy to foster aging in place. "Elder-friendly communities" are places that actively involve, value, and support older adults, both active and frail, with infrastructure and services that effectively accommodate their changing needs. This paper presents an analysis of the literature and results of a Delphi study identifying the most important characteristics of an elder-friendly community: accessible and affordable transportation, housing, health care, safety, and community involvement opportunities. We also highlight innovative programs and identify how social workers can be instrumental in developing elder-friendly communities.     

Bayesian analysis of competing risks with partially masked cause of failure

Summary. Bayesian analysis of system failure data from engineering applications under a competing risks framework is considered when the cause of failure may not have been exactly identified but has only been narrowed down to a subset of all potential risks. In statistical literature, such data are termed masked failure data. In addition to masking, failure times could be right censored owing to the removal of prototypes at a prespecified time or could be interval censored in the case of periodically acquired readings. In this setting, a general Bayesian formulation is investigated that includes most commonly used parametric lifetime distributions and that is sufficiently flexible to handle complex forms of censoring. The methodology is illustrated in two engineering applications with a special focus on model comparison issues.     

Indoor tanning and problem behavior

OBJECTIVE: The authors examined factors predicting college students' use of tanning beds. PARTICIPANTS AND METHODS: Undergraduate students (N = 745) at a large Northeastern university participated in the study by answering a survey measuring tanning behavior and other psychosocial variables, including sensation seeking, self-esteem, tanning image beliefs, and friends' tanning bed use. RESULTS: All 3 systems from problem behavior theory predicted past tanning bed use and intention to use tanning beds. The authors observed a positive association between sensation seeking and intention to use tanning beds. Tanning image beliefs were positively associated with both past tanning behavior and intention to use tanning beds. CONCLUSIONS: Interventions focusing on friend and acquaintance social network influences may be more effective than health-risk campaigns in reducing tanning bed use.     

Confidence Interval of the Difference of Two Independent Binomial Proportions Using Weighted Profile Likelihood

Interval estimation of the difference of two independent binomial proportions is an important problem in many applied settings. Newcombe (1998 Newcombe , R. G. ( 1998 ). Interval estimation for the difference between independent proportions: comparison of seven methods . Statistics in Medicine 17 : 873 – 890 .[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) compared the performance of several existing asymptotic methods, and based on the results obtained, recommended a method known as Wilson's method, a modified version of a method originally proposed for single binomial proportion. In this article, we propose a method based on profile likelihood, where the likelihood is weighted by noninformative Jeffrey' prior. By doing extensive simulations, we find that the proposed method performs well compared to Wilson's method. A SAS/IML program implementing this method is also given with this article.     

Unionization and Income Growth of Racial Minority Immigrants in Canada: A Longitudinal Study

This study examines the effect of unionization on the labor market integration of newly arrived immigrants in Canada. We find that non‐white recent immigrants gain access to unionized jobs at a slower rate than do white recent immigrants. The effect of unionization on earnings is somewhat lower for non‐white recent immigrants than for white recent immigrants. These findings are based on growth curve modeling of longitudinal data from the Survey of Labour and Income Dynamics (SLID). Therefore, unionization does not contribute to reducing the earnings gap of non‐white recent immigrants relative to white immigrants and the native‐born.     

True endpoint reduction by surrogate endpoints

The use of surrogate endpoint, which is becoming widely popular now a days, was introduced in medical research to reduce the time of experiment required for the approval of a drug. Through cost cutting and time saving, the surrogate endpoints can bring profit to the medicine producers. We obtain the expression for the reduction of true samples, in proportion, at an expense of surrogates to achieve a fixed power while comparing the two treatments. We present our discussion in the two-treatment set up in the context of odds ratio as a measure of treatment difference. We illustrate the methodology with some real dataset.     

On the distribution of a second degree polynomial statistic in singular normal var1aies

This note provides an alternative proof of a basic theorem on the distribution of a second degree polynomial statistic in noncentral singular normal variates originally proven by Rayner and Livingstone (1965)