The ranking assumption

This paper is an attempt to raise some general objections to the whole concept of making decisions on teleological principles. Its scope is finally the whole concept of how we rationally decide, on a teleological basis, to do any act at all. However the arguments developed here arise from the recent discussions about one particular species of teleological decision-making - utilitarianism. Therefore, while I hope that the paper has consequences that are important far beyond this one ethical theory, my objections are phrased in terms of direct arguments about utilitarianism. The recent lively debates on this topic make it easy to ask some interesting questions about this sort of goal-oriented theory. However, if my objections are correct, the scope of these questions is much wider than any one utilitarian theory (or cluster of theories) because my objections are about an assumption that is common to all teleological theories and not just to classical utilitarianism.     

The effects of covariate adjustment in generalized linear models

Results from classical linear regression regarding the effects of covariate adjustment, with respect to the issues of confounding, the precision with which an exposure effect can be estimated, and the efficiency of hypothesis tests for no treatment effect in randomized experiments, are often assumed to apply more generally to other types of regression models. In this paper results pertaining to several generalized linear models involving a dichotomous response variable are given, demonstrating that with respect to the issues of confounding and precision, for models having a linear or log link function the results of classical linear regression do generally apply, whereas for other models, including those having a logit, probit, log-log, complementary log-log, or generalized logistic link function, the results of classical linear regression do not always apply. It is also shown, however, that for any link function, covariate adjustment results in improved efficiency of hypothesis tests for no treatment effect in randomized experiments, and hence that the classical linear regression results regarding efficiency do apply for all models having a dichotomous response variable.     

Reconfiguring the Supply Network Using Current Performance Data

Reconfiguration of the supply chain network from time to time is essential for businesses to retain their competitive edge. This paper presents a methodology for reconfiguration of an existing supply chain network. The methodology is characterized by two decision levels. In the first level, the current network performance is evaluated and efficient practices are identified. In the next level, a model that incorporates efficient practices is developed to reconfigure the network. This integrated methodology allows for decision maker (DM) input throughout the process. The methodology has been implemented and tested in the reconfiguration of an outbound petroleum supply chain network for CountryMark Cooperative, Inc. In this case study, Data Envelopment Analysis (DEA) is used to analyze current operations and an integer programming (IP) model that incorporates efficiency metrics is developed for selection of distribution facilities and allocation of resources to the facilities. Use of this methodology can lead to improved operations and reduced operating expenses.     

On the relative accuracy of certain bootstrap procedures

We show the second-order relative accuracy, on bounded sets, of the Studentized bootstrap, exponentially tilted bootstrap and nonparametric likelihood tilted bootstrap, for means and smooth functions of means. We also consider the relative errors for larger deviations. Our method exploits certain connections between Edgeworth and saddlepoint approximations to simplify the computations.     

Hospital-to-community transitions. A bridge program for adolescent mental health patients

Making the transition from the hospital to a community setting can be extremely challenging for patients with acute mental health conditions. Transitional services have been created to help patients overcome difficulties associated with this transition. Nurses frequently play an integral role in the success of these services. By providing patients with individualized support during such transitions, nurses act as clinical liaisons and directly contribute to an increase in positive patient and system-level outcomes. This article describes a transitional service called the Bridge Program, designed to help adolescents make a successful transition from the hospital to the community. An overview of the Bridge Program is provided, and the results of an evaluation of this program are presented. Results suggest that the Bridge Program contributes to a decrease in the length of hospital stays and improves continuity of care for patients and their families.     

A pilot intervention to promote walking and wellness and to improve the health of college faculty and staff

There is a need to investigate novel interventions that promote worksite physical activity and wellness. OBJECTIVE: The authors' purpose in this study was to evaluate the effectiveness of a 12-week walking program supplemented with a pedometer, computer educational program, and weekly e-mails. METHODS: College faculty and staff participated in a one-group pre-posttest study to determine whether the 12-week walking intervention had an effect on body mass index (BMI), blood pressure, blood glucose, and cholesterol. The authors also determined participant-perceived wellness effects. RESULTS: The authors observed differences between baseline and follow-up in BMI (p = .024), blood glucose (p = .06), and total cholesterol (p = .09). The program had a moderate effect on fitness, mood, health awareness, nutrition, and health. CONCLUSIONS: It is incumbent that experts develop innovative worksite physical activity and wellness programs. A pedometer-monitored walking program is one way that a worksite health initiative can improve the health and wellness of its employees and simultaneously reduce health-care costs.     

Disease-related stigma: comparing predictors of AIDS and cancer stigma

This study explores the prevalence of AIDS and cancer stigma as influenced by attitude toward homosexuality, religiosity, authoritarianism, and androgyny. This study used a quasi-experimental survey design (N = 485) to examine attitude toward people with AIDS and cancer, and interaction with people with AIDS and cancer. Negative attitudes toward homosexuality, high religious intensity and ideology, high authoritarianism, and low expressive emerged as factors related to more negative attitudes toward people with AIDS and unwillingness to interact with people with AIDS. Attitudes toward people with cancer were generally not related to the variables. Findings explore how to campaign efforts to reduce existing negative attitudes toward AIDS and homosexuality, given that gay men with AIDS are especially stigmatized. Implications and directions for future research are discussed, especially for interventions.