Modeling censored data using modified lambda family

In the present article we propose the modified lambda family (MLF) which is the Freimer, Mudholkar, Kollia, and Lin (FMKL) parametrization of generalized lambda distribution (GLD) as a model for censored data. The expressions for probability weighted moments of MLF are derived and used to estimate the parameters of the distribution. We modified the estimation technique using probability weighted moments. It is shown that the distribution provides reasonable fit to a real censored data.     

The cost‐effectiveness of UK parenting programmes for preventing children's behaviour problems – a review of the evidence

Parenting programmes are widely used in the UK, promoted in policy documents as a cost‐effective way for children's services to address behaviour problems and thereby the longer‐term costs associated with conduct disorders, particularly antisocial behaviour and criminality. To explore whether these programmes are a cost‐effective component of family intervention, this paper examines evidence from cost‐effectiveness studies based on randomized controlled trials, modelling studies estimating longer‐term costs and outcomes, and studies estimating costs of UK parenting programmes, including evidence from routine practice. Findings indicate that parenting programmes have the potential to be cost‐saving in the long term; however, gaps in the evidence include: lack of follow‐up of families who drop out of programmes, absence of control groups in longer‐term follow‐ups, and little information about costs and effects of programmes in routine practice. The size of savings resulting from implementation of effective parenting programmes will depend on the extent to which families likely to be most costly to society attend and experience lasting benefit.     

幸福学视角下构建幸福家庭的实践研究

幸福家庭是家庭发展的高级阶段，是家庭成员一生的共同追求。本文立足于幸福学理论，探讨发展性、多元化的家庭幸福观，并从转变幸福观念、引导家庭成员挖掘幸福资源、提升家庭成员的主观幸福感、寻找幸福家庭的支点、构建家庭共同体等核心环节入手，提出幸福家庭建设的具体对策,以提高家庭成员的幸福感，改善家庭成员的内部矛盾，在一定程度上为建设幸福家庭这一影响经济发展和社会稳定的民生大计提供决策参考。     

Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models

Reduced-rank regression is a dimensionality reduction method with many applications. The asymptotic theory for reduced rank estimators of parameter matrices in multivariate linear models has been studied extensively. In contrast, few theoretical results are available for reduced-rank multivariate generalized linear models. We develop M-estimation theory for concave criterion functions that are maximized over parameter spaces that are neither convex nor closed. These results are used to derive the consistency and asymptotic distribution of maximum likelihood estimators in reduced-rank multivariate generalized linear models, when the response and predictor vectors have a joint distribution. We illustrate our results in a real data classification problem with binary covariates.     

Deactivating the Buttons: Integrating Radical Exposure Tapping with a Family Therapy Framework

The purpose of this paper is to describe and illustrate with case examples a brief intervention termed Radical Exposure Tapping (RET). RET can be integrated with family therapy to address stuck points where the therapy is hindered by a family member's affective block, an intense and unchangeable emotional reactivity to a specific trigger. RET draws from the methodology of Eye Movement Desensitization and Reprocessing (EMDR) and combines it with the tapping sequence of the Emotional Freedom Technique (EFT) to produce an intervention that is more flexible than EMDR, provides greater rigor than using the EFT technique alone and can be effective in a single session within the context of family therapy. The paper puts this work into context by first over viewing definitions of trauma and Post‐Traumatic Stress Disorder, arguing that family members' emotional reactivity may be a symptom of PTSD even when they would not qualify for the diagnosis because they had not experienced a life threatening event.     

War Leaves an Enduring Legacy in Combatants’ Lives

The memory of combat experience endures in World War II veterans. As veterans age, traumatic memory that previously may have been suppressed in the busyness of family and everyday life can re-emerge. Combat stress may affect not only the veterans, but also those people closely associated with them. Interviews were conducted with World War II veteran aircrew, wives, children, grandchildren, siblings, and friends to examine the impact of combat experience on the veterans and the family across the life course from the perspectives of the various participants. The combat experience significantly affected the life course of most.     

Lesbians and the Choice to Parent

No abstract available for this article.     

Pre-term Foetal Life Times in Scotland

A proportional hazards model was used to evaluate the association between ten categorical covariates and the risk of pre-term delivery for women having their first child and women in subsequent pregnancies. An adaptation of the model for use with grouped survival times made it possible to model foetal life times between 28 and 36 completed weeks of gestation for 67,000 Scottish singleton births in 1981. The use of the model was justified by testing time-dependent effects. For both groups of women age, and a history of abortion, were major factors associated with increased hazard. For women experiencing a second or higher-order birth a history of perinatal death was also associated with substantially increased hazard to the pregnancy.     

Analysis of Deviance for Hypothesis Testing in Generalized Partially Linear Models

In this study, we develop nonparametric analysis of deviance tools for generalized partially linear models based on local polynomial fitting. Assuming a canonical link, we propose expressions for both local and global analysis of deviance, which admit an additivity property that reduces to analysis of variance decompositions in the Gaussian case. Chi-square tests based on integrated likelihood functions are proposed to formally test whether the nonparametric term is significant. Simulation results are shown to illustrate the proposed chi-square tests and to compare them with an existing procedure based on penalized splines. The methodology is applied to German Bundesbank Federal Reserve data.