On the α-risks for shewhart control charts

The performance of the usual Shewhart control charts for monitoring process means and variation can be greatly affected by nonnormal data or subgroups that are correlated. Define the α_k-risk for a Shewhart chart to be the probability that at least one “out-of-control” subgroup occurs in k subgroups when the control limits are calculated from the k subgroups. Simulation results show that the α_k-risks can be quite large even for a process with normally distributed, independent subgroups. When the data are nonnormal, it is shown that the α_k-risk increases dramatically. A method is also developed for simulating an “in-control” process with correlated subgroups from an autoregressive model. Simulations with this model indicate marked changes in the α_k-risks for the Shewhart charts utilizing this type of correlated process data. Therefore, in practice a process should be investigated thoroughly regarding whether or not it is generating normal, independent data before out-of-control points on the control charts are interpreted to be due to some real assignable cause.     

Density estimation using asymmetric kernels and Bayes bandwidths with censored data

We propose a modification to the regular kernel density estimation method that use asymmetric kernels to circumvent the spill over problem for densities with positive support. First a pivoting method is introduced for placement of the data relative to the kernel function. This yields a strongly consistent density estimator that integrates to one for each fixed bandwidth in contrast to most density estimators based on asymmetric kernels proposed in the literature. Then a data-driven Bayesian local bandwidth selection method is presented and lognormal, gamma, Weibull and inverse Gaussian kernels are discussed as useful special cases. Simulation results and a real-data example illustrate the advantages of the new methodology.     

Mental Health and Clinical Correlates in Lesbian,Gay, Bisexual,and Queer Young Adults

Abstract

Objective: This study examined the prevalence of mental health disorders and their clinical correlates in a university sample of lesbian, gay, bisexual, and queer (LGBQ) students. Participants: College students at a large public university. Methods: An anonymous, voluntary survey was distributed via random e-mail generation to university students during April and May of 2011. LGBQ students were compared with their heterosexual counterparts on psychological and physical status as well as academic performance. Results: LGBQ students reported worse depressive symptoms, higher levels of perceived stress, considered themselves less attractive, and were more likely to be overweight. LGBQ students were significantly more likely to report histories of affective, substance use, and certain anxiety disorders as well as compulsive sexual behavior and compulsive buying. Conclusions: The higher rates of many psychiatric conditions among LGBQ students underscore the need for universities to provide LGBQ students a nonjudgmental environment to discuss sexual orientation and health issues.     

Understanding How Case Managers Use ‘Sabotage’ as a Frame for Clinically Difficult Situations

Case managers are among the direct service providers responsible for engaging people with severe mental illnesses. Understanding how they interpret and respond to clinically difficult situations can inform ways to intervene and reduce service disengagement. This qualitative study explored clinically difficult situations when case managers invoked the term ??sabotage??. Interviews were conducted with 21 case managers and analyzed by co-coders focusing on how case managers used the term sabotage to describe service user behavior. Themes that emerged were attributing sabotage to; fear of success, fear of attaining what you desire, avoidance of responsibility and change, and a lack of structured support. Drawing on the concepts of clinical case management and mental health recovery, we consider implications for the training and supervision of case managers and how services are structured.     

NONPARAMETRIC QUANTILE ESTIMATION FROM RECORD-BREAKING DATA

Sometimes, in industrial quality control experiments and destructive stress testing, only values smaller than all previous ones are observed. Here we consider nonparametric quantile estimation, both the ‘sample quantile function’ and kernel-type estimators, from such record-breaking data. For a single record-breaking sample, consistent estimation is not possible except in the extreme tails of the distribution. Hence replication is required, and for m. such independent record-breaking samples the quantile estimators are shown to be strongly consistent and asymptotically normal as m-→∞. Also, for small m, the mean-squared errors, biases and smoothing parameters (for the smoothed estimators) are investigated through computer simulations.     

REVIEWS

Bigner, J. J., & Wetchler, J. L. (Eds.). (2004). Relationship therapy with same-sex couples .
Cling, B. J. (Ed.). (2004). Sexualized violence against women and children: A psychology and law perspective .
Folberg, J., Milne, A., & Salem, P., (Eds.). (2004). Divorce and family mediation: Models, techniques and applications .
Rholes, S. W., & Simpson, J. A. (Eds.). (2004). Adult attachment: Theory, research and clinical implications .
Sperry, L. (Ed.). (2004). Assessment of couples and families: Contemporary and cutting edge strategies .     

Some Bayesian lower bounds on reliability in the lognormal distribution

The two-parameter lognormal distribution with density function f(y: γ, σ²) = [(2πσ²)^1/2y] ¹exp[?(ln y ? γ)²/2σ²], y > 0, is important as a failure-time model in life testing. In this paper, Bayesian lower bounds for the reliability function R(t: γ, σ²) = ?[(γ ? ln t)/σ] are obtained for two cases. First, it is assumed that γ is known and σ² has either an inverted gamma or “general uniform” prior distribution. Then, for the case that both γ and σ² are unknown, the normal-gamma prior and Jeffreys' vague prior are considered. Some Monte Carlo simulations are given to indicate some of the properties of the Bayesian lower bounds.     

Screening for Alcohol Problems Among 4-Year Colleges and Universities

Abstract

Objective: To assess the use of alcohol screening tools across US colleges. Participants: Directors of health services at 333 four-year colleges. Methods: An online survey was conducted regarding the use of alcohol screening tools. Schools reporting use of formal tools were further described in terms of 4 tools (AUDIT, CUGE, CAPS, and RAPS) that the authors judged to be the most favorable based on prior empirical comparative studies. Results: Forty-four percent of colleges reported use of at least 1 formal alcohol screening tool and nearly all of these used a tool appropriate for college students. However, less than half of the 44% of colleges that used a screening tool used 1 of the 4 most favorable tools. Conclusions: Continued efforts are needed to encourage colleges to use the most effective available screening tools to identify alcohol-related problems that require intervention among students.     

Access Barriers to Mental Health Services for Older Adults from Diverse Populations: Perspectives of Leaders in Mental Health and Aging

This project is based on the results of telephone surveys with 52 local, state, and national informed respondents including policymakers, county leaders, planners, and advocates in mental health and aging with a particular focus on the states of California and Florida. This article addresses challenges to access to mental health services for diverse older adults including barriers related to race and ethnicity, socioeconomic status, location, age, gender, immigrant status, language, sexual orientation, and diagnosis. The article also highlights broad themes that emerged including (1) the importance of outreach and transportation tailored to diverse elders, and (2) recruitment of diverse staff and training related to diversity. The article concludes with policy and practice recommendations to reduce these disparities in access to mental health services for diverse populations of older adults.