Who Should Pay for Interdependent Risk? Policy Implications for Security Interdependence Among Airports

We study interdependent risks in security, and shed light on the economic and policy implications of increasing security interdependence in presence of reactive attackers. We investigate the impact of potential public policy arrangements on the security of a group of interdependent organizations, namely, airports. Focusing on security expenditures and costs to society, as assessed by a social planner, to individual airports and to attackers, we first develop a game-theoretic framework, and derive explicit Nash equilibrium and socially optimal solutions in the airports network. We then conduct numerical experiments mirroring real-world cyber scenarios, to assess how a change in interdependence impact the airports' security expenditures, the overall expected costs to society, and the fairness of security financing. Our study provides insights on the economic and policy implications for the United States, Europe, and Asia.     

Transparency and Accountability Practices of Local Government Units in the Philippines: a Measurement from the Ground

Public Organization Review - The organizational practices of government personnel are indispensable components of building public trust and confidence. The 56 department heads and 662 personnel...     

Type I error rates from likelihood‐based repeated measures analyses of incomplete longitudinal data

The last observation carried forward (LOCF) approach is commonly utilized to handle missing values in the primary analysis of clinical trials. However, recent evidence suggests that likelihood‐based analyses developed under the missing at random (MAR) framework are sensible alternatives. The objective of this study was to assess the Type I error rates from a likelihood‐based MAR approach – mixed‐model repeated measures (MMRM) – compared with LOCF when estimating treatment contrasts for mean change from baseline to endpoint (Δ). Data emulating neuropsychiatric clinical trials were simulated in a 4 × 4 factorial arrangement of scenarios, using four patterns of mean changes over time and four strategies for deleting data to generate subject dropout via an MAR mechanism. In data with no dropout, estimates of Δ and SE_Δ from MMRM and LOCF were identical. In data with dropout, the Type I error rates (averaged across all scenarios) for MMRM and LOCF were 5.49% and 16.76%, respectively. In 11 of the 16 scenarios, the Type I error rate from MMRM was at least 1.00% closer to the expected rate of 5.00% than the corresponding rate from LOCF. In no scenario did LOCF yield a Type I error rate that was at least 1.00% closer to the expected rate than the corresponding rate from MMRM. The average estimate of SE_Δ from MMRM was greater in data with dropout than in complete data, whereas the average estimate of SE_Δ from LOCF was smaller in data with dropout than in complete data, suggesting that standard errors from MMRM better reflected the uncertainty in the data. The results from this investigation support those from previous studies, which found that MMRM provided reasonable control of Type I error even in the presence of MNAR missingness. No universally best approach to analysis of longitudinal data exists. However, likelihood‐based MAR approaches have been shown to perform well in a variety of situations and are a sensible alternative to the LOCF approach. MNAR methods can be used within a sensitivity analysis framework to test the potential presence and impact of MNAR data, thereby assessing robustness of results from an MAR method. Copyright © 2004 John Wiley & Sons, Ltd.     

Choice of the primary analysis in longitudinal clinical trials

Missing data, and the bias they can cause, are an almost ever‐present concern in clinical trials. The last observation carried forward (LOCF) approach has been frequently utilized to handle missing data in clinical trials, and is often specified in conjunction with analysis of variance (LOCF ANOVA) for the primary analysis. Considerable advances in statistical methodology, and in our ability to implement these methods, have been made in recent years. Likelihood‐based, mixed‐effects model approaches implemented under the missing at random (MAR) framework are now easy to implement, and are commonly used to analyse clinical trial data. Furthermore, such approaches are more robust to the biases from missing data, and provide better control of Type I and Type II errors than LOCF ANOVA. Empirical research and analytic proof have demonstrated that the behaviour of LOCF is uncertain, and in many situations it has not been conservative. Using LOCF as a composite measure of safety, tolerability and efficacy can lead to erroneous conclusions regarding the effectiveness of a drug. This approach also violates the fundamental basis of statistics as it involves testing an outcome that is not a physical parameter of the population, but rather a quantity that can be influenced by investigator behaviour, trial design, etc. Practice should shift away from using LOCF ANOVA as the primary analysis and focus on likelihood‐based, mixed‐effects model approaches developed under the MAR framework, with missing not at random methods used to assess robustness of the primary analysis. Copyright © 2004 John Wiley & Sons, Ltd.     

The Sexual Body of the Young Jew as an Arena of Ideological Struggle, 1821–1948

This article analyzes professional discourse on masturbation to illustrate how child sexuality serves as a site for symbolic ideological struggles. Sex instruction manuals written in central Europe in the nineteenth century Palestine and Israel in the twentieth century are the basis for broader discussions on religious and scientific discourse on child and adolescent sexuality within the Jewish communities. By tracing the development of new forms of expert knowledge, we show how expert discourse on masturbation gradually transformed it from a symbolic moral evil into a medical disease and a psychological problem, before declaring it a legitimized behavior.     

Group therapists' countertransference reactions to multiple deaths from aids

Group therapists for those with HIV Related Diseases are becoming the “professional” survivors of this world-wide epidemic. From their experiences we may learn a great deal more about the effects of multiple deaths on mental health care professionals. As therapists they are constantly eliciting and listening to the fears, hopes, agonies and terrors of those with this disease. They become the bereaved. Witnesses to the deaths of many of their group members, they struggle with a wide range of emotional responses while at the same time assisting surviving group members in their struggle to live with these deaths. Mourning reactions and countertransference phenomena are in abundance as these therapists grapple with these group processes. This article identifies and examines these therapists' responses by focusing on clinical illustrations drawn from their bi-weekly supervision sessions.     

Setting operational goals for corporate social responsibility

In this article the author argues that more formality in social responsibility planning efforts is a concept which is extremely pertinent in today's conditions. Rewards will accrue to the organization that can move beyond aesthetic objectives and achieve operationality in social responsibility goal setting. This requires, basically, the application of techniques that have proved to be successful in MBO programs. By translating broadly stated social objectives into goals that are clear, concise, time related and cost related, management will inject an increased measure of integrity into its planning process, improve social responsibility programs, assure future successes in the social performance arena, facilitate the appraisal of management personnel, and enhance the organization's credibility with its multiple publics. Positive benefits will flow to the organization, its immediate publics, and to the society at large as a consequence of operational planning methods as described herein.     

Connecting and Strengthening Young Aboriginal Men: A Family Wellbeing Pilot Study

A significant proportion of young people in Australia are currently not being engaged in school and other social systems. This article presents the results of a mixed-methods study of a pilot Family Wellbeing intervention designed to enhance the social and emotional wellbeing (SEWB) of young Aboriginal men and improve engagement in education, employment, and other social participation. A questionnaire incorporating the Kessler Psychological Distress Scale and respondent self-assessment SEWB questions was administered to program participants pre and post intervention (N = 30) and qualitative data were collected from program organisers (N = 6). The results suggest that the Family Wellbeing intervention has the capacity to make a marked contribution to the SEWB of young Aboriginal men; participants experienced strong improvement in capacity to manage relationships, engagement in education and employment, and mental and physical health. The factors that enabled the program to be adapted to the target group and setting are documented.