Concurrent reductions in psychotropic medication,assault, and physical restraint in two residential treatment programs for youth

Over the past decade, the level of clinical needs of youth in residential treatment has increased significantly. Youth in out-of-home settings typically experience higher levels of psychotropic medication use than their peers living at home, even when controlling for the severity of clinical issues. The purpose of the current study was to examine the effects of an approach to clinically reassess psychotropic medication utilization for youth residing in residential treatment settings while also observing the impact on the youth's need for physical containment. Medication changes were based on a data-informed process, using input from a multi-disciplinary treatment team. Data for 531 youth who were consecutively admitted to one of two non-affiliated intensive residential treatment programs, one in the Midwest and one in New England, was analyzed. Over half of these youth (n = 292, 55%) had their medications reduced during their stay and only 14% (n = 76) were prescribed more medication at discharge than they had been taking at admission. The remainder either saw no change during their stay (n = 104, 20%) or were never on medication at any time (n = 59, 11%). From admission to discharge there was a 62% decrease in the number of assaultive incidents as well as a 72% decrease in the use of physical restraints. These results support the view that residential treatment can provide a treatment milieu that allows for thoughtful reassessment of the clinical basis for behavioral disorders in children that can achieve the dual goals of medication reduction and behavioral stabilization.     

Parental Socioeconomic Background and Child Behaviour

Although childhood obesity has long been in focus, little is known about the sensitivity of behavioural choices to measure parental resource constraints. The aim of this study is to examine the heterogeneous effects of children’s (or their parents’) choices of lifestyle subject to information and resource constraints, respectively. We address this issue using a unique longitudinal data set of almost 1,500 schoolchildren attending state schools between 2008 and 2010 in the Danish Municipality of Aalborg. One empirical strategy is to control for a rich set of child and parental characteristics; another is to use child fixed effect to control for fixed unobserved child characteristics. By including the interaction between child behaviour and parental socioeconomic background, a more complete but more complex picture arises. Our findings challenge the predominant assumption that behaviour and weight is a choice made by children, or their parents.     

Analysis of short-term systematic measurement error variance for the difference of paired data without repetition of measurement

The variance of short-term systematic measurement errors for the difference of paired data is estimated. The difference of paired data is determined by subtracting the measurement results of two methods, which measure the same item only once without measurement repetition. The unbiased estimators for short-term systematic measurement error variances based on the one-way random effects model are not fit for practical purpose because they can be negative. The estimators, which are derived for balanced data as well as for unbalanced data, are always positive but biased. The basis of these positive estimators is the one-way random effects model. The biases, variances, and the mean squared errors of the positive estimators are derived as well as their estimators. The positive estimators are fit for practical purpose.     

Normalization in Econometrics

The issue of normalization arises whenever two different values for a vector of unknown parameters imply the identical economic model. A normalization implies not just a rule for selecting which among equivalent points to call the maximum likelihood estimate (MLE), but also governs the topography of the set of points that go into a small-sample confidence interval associated with that MLE. A poor normalization can lead to multimodal distributions, disjoint confidence intervals, and very misleading characterizations of the true statistical uncertainty. This paper introduces an identification principle as a framework upon which a normalization should be imposed, according to which the boundaries of the allowable parameter space should correspond to loci along which the model is locally unidentified. We illustrate these issues with examples taken from mixture models, structural vector autoregressions, and cointegration models.     

从心理学走向形而上学——詹姆斯“意识流”学说及其哲学意蕴

詹姆斯的意识流学说使他的心理学具有一种独特的原创性.其中特别值得关注的是他关于心理学的直接描述法和意识现象连续性特征的强调.但意识流学说尚未克服传统二元论的痕迹,这导致了詹姆斯后来向经验主义的转变.意识流学说直接影响了詹姆斯对经验主义的阐述,同时意识流学说中的二元论色彩,也在后来的经验学说那里留下了印记,使詹姆斯的彻底经验主义最终没能真正摆脱基础主义的覆辙.     

Cocoa Pod Borer (Conopomorpha cramerella Snellen) in Papua New Guinea: Biosecurity Models for New Ireland and the Autonomous Region of Bougainville

Cocoa Pod Borer (Conopomorpha cramerella Snellen) (CPB) is an important pest of cocoa. Following its emergence as a pest in East New Britain, Papua New Guinea, in 2006, it was considered relevant to assess its potential spread to other cocoa growing regions. Its likelihood of introduction to the islands of Bougainville and New Ireland from East New Britain Province, Papua New Guinea, was modeled using Monte Carlo simulation. This dispersal model was based around different scenarios, identifying trends rather than explicitly attempting to encapsulate true values. The model suggested that CPB is far more likely to establish on New Ireland than on Bougainville. More important, incertitude resulting from incomplete knowledge of the amount and frequency of cocoa transported between islands had a significant effect on model outputs. Quarantine and agriculture officials will be able to refine these parameter values, and then use the relevant scenarios from those presented here as a guide to develop quarantine procedures. In addition, a contingency model was employed to estimate the optimal sampling effort to use following an incursion of CPB into Bougainville or New Ireland and the seemingly successful implementation of an initial eradication program. The model suggests that at a 1% infestation level, sampling should continue for 2.5–2.7 years (90% CI) after claiming eradication, and this estimate changed little for higher infestation levels. Through modeling variations in sampling intensity, the model also suggested that determining the full spread of CPB is more important than increased sampling within one region.     

Book review

State-Space Models with Regime Switching by Chang-Jin Kim and Charles R. Nelson. Pp. 250. Cambridge, Massachnsetts: MIT Press, 1999. ($40.00 cloth) WEB INFOR~UATION: http://mitpress.mit.edu/book-home.tcl?isbn=0262l123.