Labeling of nanotechnology consumer products can influence risk and benefit perceptions

Currently, there is no mandatory labeling for products containing synthetic nanoparticles. The public as well as other stakeholders have positive views about mandatory labeling. However, little is known how such a label influences the risk and benefit perception of a product. Consumers may infer that a label is a signal that there are risks associated with this technology. Data were collected in a survey experiment (N= 1,382). Participants were randomly assigned to one of six conditions. The control group received a picture of a sunscreen container without a label. One experimental group received a picture of a sunscreen container with a label. The other groups received, in addition to the sunscreen container with a label, some risk or benefit information. Results suggest that labeling of products may reduce consumers' benefit perception and increase risk perception. Labeling nanotechnology consumer products may change the public perception of the products. Respondents may have relied on the affect heuristic for assessing the risks and benefits of the sunscreen.     

How to keep good staff from leaving

There are many moves you can make to maintain staff morale, provide staff with challenges and keep them content.     

Three explanations of marital status differences in suicide rates: social integration, marital status integration, and the culture of suicide

Our first goal is to link empirical measures of three theoretical explanations of marital status differences to the variation in male and female standardized suicide difference coefficients SSDCs in 12 developed countries, circa 1960. We include predictors of Durkheim's social integration hypothesis, Gibbs and Martin's concept of marital status integration, and norms on suicide acceptability. All three are significantly related to variation in male and female SSDCs. The second goal is to examine how our empirical indicators impact age-specific differences in the male minus female SSDC--differences that vary by age in all 12 of our study populations. The strongest predictor of these differences is the male minus female difference in the percent married.     

The competitive advantage: strategic thinking for physician leaders

Physician executives should manage their career strategies like a well-run company. Learn how to start thinking aout your career strategy.     

Are we making progress? Not in haematology!

It will be shown, through the presentation of recent research findings, that haematology is a neglected area in terms of sensitive care of the dying. The Australian evidence indicates that scant progress has been made in relation to even the most basic palliative care practices such as sensitive, honest information giving or appropriate referral to the palliative system. Rather, the data show that during terminal trajectory, patients from these diagnostic groups and their families remain trapped in processes within the high-tech, curative system that are not responsive to the needs of the dying.     

Accounting for Uncertainty in Heteroscedasticity in Nonlinear Regression

Toxicologists and pharmacologists often describe toxicity of a chemical using parameters of a nonlinear regression model. Thus estimation of parameters of a nonlinear regression model is an important problem. The estimates of the parameters and their uncertainty estimates depend upon the underlying error variance structure in the model. Typically, a priori the researcher would not know if the error variances are homoscedastic (i.e., constant across dose) or if they are heteroscedastic (i.e., the variance is a function of dose). Motivated by this concern, in this paper we introduce an estimation procedure based on preliminary test which selects an appropriate estimation procedure accounting for the underlying error variance structure. Since outliers and influential observations are common in toxicological data, the proposed methodology uses M-estimators. The asymptotic properties of the preliminary test estimator are investigated; in particular its asymptotic covariance matrix is derived. The performance of the proposed estimator is compared with several standard estimators using simulation studies. The proposed methodology is also illustrated using a data set obtained from the National Toxicology Program.