Random-Effects Models

In spite of the serious and costly problems presented by juvenile sexual offenders, rigorous tests of promising interventions have rarely been conducted. This study presents a community-based effectiveness trial comparing multisystemic therapy (MST) adapted for juvenile sexual offenders with services that are typical of those provided to juvenile sexual offenders in the U.S. Youth were randomized to MST (n = 67) or treatment as usual for juvenile sexual offenders (TAU-JSO; n = 60). Outcomes through 12 months post recruitment were assessed for problem sexual behavior, delinquency, substance use, mental health functioning, and out-of-home placements. Relative to youth who received TAU-JSO, youth in the MST condition evidenced significant reductions in sexual behavior problems, delinquency, substance use, externalizing symptoms, and out-of-home placements. The findings suggest that family-and community-based interventions, especially Electronic mail may be sent to [email protected]. The second author is a board member and stockholder of MST Services, LLC, the Medical University of South Carolina-licensed organization that provides training in MST. The third author is a board member of MST Associates, LLC, the organization that provides training in MST for youth with problem sexual behaviors.

According to the principles of negative reinforcement, when an aid has been given to an animal, it should be released as soon as the desired response has been achieved, and, if performed well, may be associated with fewer conflict behaviors than otherwise. In riding, pressure in the horse’s mouth from the bit is used to give signals to the horse,

Objective: To test a collaborative-care, cognitive-behavioral therapy (CBT) program adjunctive to selective serotonin reuptake inhibitor (SSRI) treatment in HMO pediatric primary care. Method: A randomized effectiveness trial comparing a treatment-as-usual (TAU) control condition consisting primarily of SSRI medication delivered outside the experimental protocol (n = 75) versus TAU SSRI plus brief CBT (n = 77). Participants were identified by a recent dispense of SSRI medication followed by telephone screening. Adolescents with a diagnosis of major depressive disorder (n = 152) were enrolled.

To examine effects of a teacher consultation and coaching program delivered by school and community mental health professionals on change in observed classroom interactions and child functioning across one school year. Method: Thirty-six classrooms within 5 urban elementary schools (87% Latino, 11% Black) were randomly assigned to intervention (training ϩ consultation/coaching) and control (training only) conditions. Classroom and child outcomes (n ϭ 364; 43% girls) were assessed in the fall and spring. Results: Random effects regression models showed main effects of intervention on teacher-student relationship closeness, academic self-concept, and peer victimization. Results of multiple regression models showed levels of observed teacher emotional support in the fall moderated intervention impact on emotional support at the end of the school year. Conclusions: Results suggest teacher consultation and coaching can be integrated within existing mental health activities in urban schools and impact classroom effectiveness and child adaptation across multiple domains.

The application of proportional odds models to ordered categorical data using the mixed-effects modeling approach has become more frequently reported within the pharmacokinetic/pharmacodynamic area during the last decade. The aim of this paper was to investigate the bias in parameter estimates, when models for ordered categorical data were estimated using methods employing different approximations of the likelihood integral; the Laplacian approximation in NONMEM (without and with the centering option) and NLMIXED, and the Gaussian quadrature approximations in NLMIXED. In particular, we have focused on situations with non-even distributions of the response categories and the impact of interpatient variability. This is a Monte Carlo simulation study where original data sets were derived from a known model and fixed study design. The simulated response was a four-category variable on the ordinal scale with categories 0, 1, 2 and 3. The model used for simulation was fitted to each data set for assessment of bias. Also, simulations of new data based on estimated population parameters were performed to evaluate the usefulness of the estimated model. For the conditions tested, Gaussian quadrature performed without appreciable bias in parameter estimates. However, markedly biased parameter estimates were obtained using the Laplacian estimation method without the centering option, in particular when distributions of observations between response categories were skewed and when the interpatient variability was moderate to large. Simulations under the model could not mimic the original data when bias was present, but resulted in overestimation of rare events. The bias was considerably reduced when the centering option in NON-MEM was used. The cause for the biased estimates appears to be related to the conditioning on uninformative and uncertain empirical Bayes estimate of interindividual random effects during the estimation, in conjunction with the normality assumption.