Spousal,Family and Gender Effects on Expected Retirement Age for Married Pre-retirees

The overall purpose of this study was to examine the degree to which retirement is a contextually embedded, family decision rather than an individualized, male-centric one. Using data from a 2010 survey of married pre-retirees ages 35–70 in Michigan, US, we created a General Linear Model to predict expected retirement age. The model incorporated the effect of spousal and family variables on expected retirement age, and because the work/family interface is highly gendered, we explored interactions with gender. The study used a life course perspective in its framing and analysis, and found that expected retirement age was related to both personal and family characteristics and that the relationship of spousal and family factors were gendered and complex.     

Group Therapy for Emotional Dysregulation: Treatment for Adolescents and Their Parents

A dialectical behaviour therapy (DBT) group has been conducted for a number of years at a public outpatient clinic for adolescents suffering with emotional regulation difficulties and their families. A detailed account of the rationale, design, and content of both the adolescent and parent groups are provided. Data from these groups adds to the limited evidence regarding the efficacy of such groups. A retrospective analysis of changes in the adolescent participants’ emotional dysregulation, depression, anxiety and stress, following their participation in the group (N?=?12) was conducted. Several substantial improvements were noted across the measures of psychopathology, following the completion of the group. These findings support the teaching of DBT skills to adolescents and their families, with some modifications being appropriate for their application to this population. Future avenues for research stemming from the group program are also discussed.     

Coalitional stability and efficiency of partitions in matching problems

?zkal-Sanver (Theory Decis 59:193–205, 2005) studies stability and efficiency of partitions of agents in two-sided matching markets in which agents can form partitions by individual moves only, and a matching rule determines the matching in each coalition in a partition. In this study, we present the relationship between stability and efficiency of partitions that is analyzed for several matching rules and under various membership property rights codes, now allowing coalitional moves.     

Semiparametric partially linear varying coefficient models with panel count data

This paper studies semiparametric regression analysis of panel count data, which arise naturally when recurrent events are considered. Such data frequently occur in medical follow-up studies and reliability experiments, for example. To explore the nonlinear interactions between covariates, we propose a class of partially linear models with possibly varying coefficients for the mean function of the counting processes with panel count data. The functional coefficients are estimated by B-spline function approximations. The estimation procedures are based on maximum pseudo-likelihood and likelihood approaches and they are easy to implement. The asymptotic properties of the resulting estimators are established, and their finite-sample performance is assessed by Monte Carlo simulation studies. We also demonstrate the value of the proposed method by the analysis of a cancer data set, where the new modeling approach provides more comprehensive information than the usual proportional mean model.     

Comparison of performance measures for multivariate discrete models

For multivariate probit models, Spiess and Tutz suggest three alternative performance measures, which are all based on the decomposition of the variation. The multivariate probit model can be seen as a special case of the discrete copula model. This paper proposes some new measures based on the value of the likelihood function and the prediction-realization table. In addition, it generalizes the measures from Spiess and Tutz for the discrete copula model. Results of a simulation study designed to compare the different measures in various situations are presented.     

Accuracy of approximate progressively censored reliability sampling plans for exponential models

Reliability sampling plans provide an efficient method to determine the acceptability of a product based upon the lifelengths of some test units. Usually, they depend on the producer and consumer’s quality requirements and do not admit closed form solutions. Acceptance sampling plans for one- and two-parameter exponential lifetime models, derived by approximating the operating characteristic curve, are presented in this paper. The accuracy of these approximate plans, which are explicitly expressible and valid for failure and progressive censoring, is assessed. The approximation proposed in the one-parameter case is found to be practically exact. Explicit lower and upper bounds on the smallest sample size are given in the two-parameter case. Some additional advantages are also pointed out.