Confidence Intervals for the Youden Index and Corresponding Optimal Cut-Point

A global measure of biomarker effectiveness is the Youden index, the maximum difference between sensitivity, the probability of correctly classifying diseased individuals, and 1-specificity, the probability of incorrectly classifying healthy individuals. The cut-point leading to the index is the optimal cut-point when equal weight is given to sensitivity and specificity. Using the delta method, we present approaches for estimating confidence intervals for the Youden index and corresponding optimal cut-point for normally distributed biomarkers and also those following gamma distributions. We also provide confidence intervals using various bootstrapping methods. A comparison of interval width and coverage probability is conducted through simulation over a variety of parametric situations. Confidence intervals via delta method are shown to have both closer to nominal coverage and shorter interval widths than confidence intervals from the bootstrapping methods.     

Working precarious careers trajectories: tracing neoliberal discourses in younger workers’ narratives

ABSTRACT

The aim of this article is to explore how, in the context of the post Global Financial Crisis (GFC), some Italian younger workers in a specific geographical region in Italy recount their work trajectories. Drawing on narrative interviews with ten participants (aged between 24 and 30) as part of a research project carried out in the Autonomous region of Aosta Valley in Italy, the article traces discourses closely associated with neoliberalism – the discourses of the entrepreneurial self, employability and self-responsibilisation – through which subjects’ work experiences take shape. Moreover, the analysis highlights how locality, one’s personal relation with the geographical territory, makes more complex the younger people’s negotiations in crafting themselves vis-à-vis precarious employment opportunities and wider socio-economic dynamics in respect of precarious employment opportunities.     

An Examination of Public Private Academic Partnerships: Does Program Success Enhance University Performance Outcomes?

In response to a steady decline in State funding, universities have become heavily involved in a variety of public private academic partnerships (PPAPs) in such areas as medical research, business incubation, technological commercialization, continuing professional education, and intercollegiate athletics. Despite this trend, research which examines if such partnerships actually enhance university funding is rare within the public organization literature. Given this, we focus on university intercollegiate athletics programs, which represent one of the largest PPAPs ever undertaken by universities, to examine whether PPAP success can potentially enhance university performance outcomes leading to increased funding levels. Such programs represent a PPAP because public, private, and academic entities all come together to form an organization (division 1 football at the bowl subdivision level) which seeks to benefit all three entities through sharing resources and responsibilities. Study results showed that athletic success positively influenced a variety of university performance outcome variables such as enrollments and endowments. While results indicate that PPAP success can enhance university funding, we also suggest modifications that should enhance the chances that PPAPs will be successful.     

Relationships Between Candidate Self-Monitoring, Perceived Personality, and Selection Interview Outcomes

A study into the relationships between candidateself-monitoring ability, interviewer perceptions ofcandidate personality, and interviewer outcome decisionsin the context of actual graduate recruitment interviews (n = 130) is presented. Detailedpsychometric norm data is also reported on the Lennoxand Wolfe (1984) revised Self-Monitoring (RS-M) scale,together with the results of confirmatory factoranalyses into the factor structure of this measure. Itwas found that candidate self-monitoring ability wasonly moderately and nonsignificantly related tointerviewer outcome evaluations, and thatself-monitoring was generally uncorrelated with thepositiveness of recruiter impressions of candidatepersonality. Confirmatory factor analyses revealed thata two correlated factor structure for the RS-M scale, inaccordance with the original authors' formulation,provided the most parsimonious fit. Norm data for theRS-M scale is reported for this sample of Britishgraduates, including item statistics, item to subscale,item to scale correlations, and internal reliabilitycoefficients. Implications for future research intocandidate impression management, self-monitoring,interviewer decision making, and the practicalimplications arising from these findings arediscussed.     

Relationships between Sales Management Control, Territory Design, Salesforce Performance and Sales Organization Effectiveness

This research evaluates determinants of sales organization effectiveness in a sample of British companies, and contributes to an important new research stream by following recent empirical studies in the USA and Australia. We discuss a model of sales organization effectiveness determined by salesforce outcome performance and behavioural performance, as well as by the use of a behaviour-based control approach. Sales territory design is also considered as a particularly important managerial variable, which has received little analytical attention in the traditional literature, but which appears to be an important influence on the effectiveness of the sales operation. Our exploratory path analytical model suggests that sales territory design has a large effect on sales organization effectiveness both directly, and indirectly through its relationship with salesforce behavioural performance. These findings are somewhat different to those in similar studies in other countries, and suggest some important implications for managers as well as for researchers in this field.     

Secular declines in the association between obesity and mortality in the United States

Recent research suggests that rising obesity will restrain future gains in US life expectancy and that obesity is an important contributor to the current shortfall in us longevity compared to other high-income countries. Estimates of the contribution of obesity to current and future national-level mortality patterns are sensitive to estimates of the magnitude of the association between obesity and mortality at the individual level. We assessed secular trends in the obesity/mortality association among cohorts of middle-aged adults between 1948 and 2006 using three long-running US data sources: the Framingham Heart Study, the National Health and Nutrition Examination Survey, and the National Health Interview Survey. We find substantial declines over time in the magnitude of the association between obesity and overall mortality and, in certain instances, cardiovascular-specific mortality. We conclude that estimates of the contribution of obesity to current national-level mortality patterns should take into account recent reductions in the magnitude of the obesity and mortality association.     

Culturally specific treatment for partner-abusive Latino men: a qualitative study to identify and implement program components

Research based on a demographic survey and qualitative interviews of Latino intimate partner violence perpetrators in Southern California forms the basis of a Spanish-language treatment program designed to be culturally appropriate for Latino immigrant men, and piloted for 4 years with their input. Culturally-specific topics emphasized by participants and integrated into the program are: effective parenting skills for men; gender roles; discussion of discrimination towards immigrants and women; immigration and changing gender roles; marital sexual abuse; and spirituality as related to violence prevention. Attention is given to alcohol abuse and childhood trauma. Results suggest the desirability of an empathic and culturally-sensitive approach, without diminishing responsibility. This program was designed to help clinicians refine their skills and effectiveness in working with this rapidly expanding population.     

Inference in hybrid Bayesian networks using dynamic discretization

We consider approximate inference in hybrid Bayesian Networks (BNs) and present a new iterative algorithm that efficiently combines dynamic discretization with robust propagation algorithms on junction trees. Our approach offers a significant extension to Bayesian Network theory and practice by offering a flexible way of modeling continuous nodes in BNs conditioned on complex configurations of evidence and intermixed with discrete nodes as both parents and children of continuous nodes. Our algorithm is implemented in a commercial Bayesian Network software package, AgenaRisk, which allows model construction and testing to be carried out easily. The results from the empirical trials clearly show how our software can deal effectively with different type of hybrid models containing elements of expert judgment as well as statistical inference. In particular, we show how the rapid convergence of the algorithm towards zones of high probability density, make robust inference analysis possible even in situations where, due to the lack of information in both prior and data, robust sampling becomes unfeasible.