A power comparison of three tests for design effects in a random effects covariance model

A preliminary testing procedure for design ettecta in a ran-dom effects covariance model is Compared with the usual procedure to see if the power of the latter can be improved. A procedure which ignores the random covariate effects is included for comparison and for study of misspecification effects. Methodology is based on Roebruck's (1982) results for regular linear models.     

How socialization goals and peer social climate predict young children's concern for others: Evidence for a development shift between 2 and 4 years of age

Children's concern for others is shaped through socialization, but current theories make different predictions as to how and when in development this socializing occurs. Here we found that mothers' prosocial socialization goals (SGs) predicted concern for others in 2‐year‐old (n = 804) and 4‐year‐old (n = 714) children. In contrast, preschool teachers' SGs predicted concern for others only for 4‐year‐old children. In addition, a positive social climate among classroom peers predicted 4‐year‐olds' prosociality. These results suggest that the nuclear family environment impacts toddlers' concern for others before the broader social environment shapes their prosociality at preschool age.     

Assessing and communicating heterogeneity of treatment effects for patient subpopulations: Panel discussion on considerations in design and analysis

Clinical trials are primarily conducted to understand the average effects treatments have on patients. However, patients are heterogeneous in the severity of the condition and in ways that affect what treatment effect they can expect. It is therefore important to understand and characterize how treatment effects vary. The design and analysis of clinical studies play critical roles in evaluating and characterizing heterogeneous treatment effects. This panel discussed considerations in design and analysis under the recognition that there are heterogeneous treatment effects across subgroups of patients. Panel members discussed many questions including: What is a good estimate of the treatment effect in me, a 65-year-old, bald, Caucasian-American, male patient? What magnitude of heterogeneity of treatment effects (HTE) is sufficiently large to merit attention? What role can prior evidence about HTE play in confirmatory trial design and analysis? Is there anything described in the 21st Century Cures Act that would benefit from greater attention to HTE? An example of a Bayesian approach addressing multiplicity when testing for treatment effects in subgroups will be provided. We can do more or better at understanding heterogeneous treatment effects and providing the best information on heterogeneous treatment effects.     

Novel concentration-QTc models for early clinical studies with parallel placebo controls: A simulation study

The QTc interval of the electrocardiogram is a pharmacodynamic biomarker for drug-induced cardiac toxicity. The ICH E14 guideline Questions and Answers offer a solution for evaluating a concentration-QTc relationship in early clinical studies as an alternative to conducting a thorough QT/QTc study. We focused on covariance structures of QTc intervals on the baseline day and dosing day (two-day covariance structure,) and proposed a two-day QTc model to analyze a concentration-QTc relationship for placebo-controlled parallel phase 1 single ascending dose studies. The proposed two-day QTc model is based on a constrained longitudinal data analysis model and a mixed effects model, thus allowing various variance components to capture the two-day covariance structure. We also propose a one-day QTc model for the situation where no baseline day or only a pre-dose baseline is available and models for multiple ascending dose studies where concentration and QTc intervals are available over multiple days. A simulation study shows that the proposed models control the false negative rate for positive drugs and have both higher accuracy and power for negative drugs than existing models in a variety of settings for the two-day covariance structure. The proposed models will promote early and accurate evaluation of the cardiac safety of new drugs.     

Six Distributional Effects of Environmental Policy

While prior literature has identified various effects of environmental policy, this note uses the example of a proposed carbon permit system to illustrate and discuss six different types of distributional effects: (1) higher prices of carbon‐intensive products, (2) changes in relative returns to factors like labor, capital, and resources, (3) allocation of scarcity rents from a restricted number of permits, (4) distribution of the benefits from improvements in environmental quality, (5) temporary effects during the transition, and (6) capitalization of all those effects into prices of land, corporate stock, or house values. The note also discusses whether all six effects could be regressive, that is, whether carbon policy could place disproportionate burden on the poor.     

Comparison of normal probability plots and dot plots in judging the significance of effects in two level factorial designs

In this article, we present a study carried out to compare the effectiveness of the normal probability plot (NPP) and a simple dot plot in assessing the significance of the effects in experimental designs with factors at two levels (2 ^k?p designs). Several groups of students who had just completed a course that covered factorial designs were asked to identify the significant effects in a total of 32 situations, 16 of which were represented using NPPs and the other 16 using dot plots. Although the 32 scenarios were said to be different, there were really only 16 different situations, each of which was represented using the two methods to be compared. A simple graphical analysis shows no evidence that there is a difference between the two procedures. However, in designs with 16 runs there are some cases where NPP seems to give slightly better results.     

Lad for Multiway Tables

It is shown that transformations based on differencing can be helpful in simplifying the problem of fitting to multiway tables. This is illustrated for LAD fitting, and the computational problems surveyed briefly.     

居住安排对居家老年人精神健康的影响--基于文化情境与年龄的调解效应

经济社会和家庭结构双重转型导致老年人居住安排的急剧变迁,正在动摇老年人传统照顾模式的文化与家庭基础,给老年人的精神健康带来不可忽视的影响。构建生命历程视角下的居住安排———文化情境———精神健康分析框架并进行实证研究,结果显示,相对空巢老人而言,与子女同住对老年人精神健康具有显著的积极效应,网络家庭老年人的生活满意度和抑郁水平都较高;居住安排———老年人精神健康关系受到居住地、婚姻状况的调节作用,对中低龄老年人作用尤其明显。与子女同住对老年人,尤其是农村和城市高龄老年人精神健康的积极效应显著,而网络家庭主要改善了农村老年人的生活满意度。     

Qualitative Analysis of the Short-Term and Long-Term Impact of Family Breakdown on Children: Case Study

This article analyzes the impact of divorce on the members of a family by doing a retrospective case study, comparing a mother’s perception of the effects of this experience on her children with their personal report of them. Both short-term and long-term effects are examined. Children suffered from sleep disorders, confusion, aggressiveness, behavioral problems, academic problems, resentment, and fear of abandonment. However, the personal experience of the separated parents did not lead to inevitable negative consequences in the long term, as is clear from the self-reports included here.     

The effects of correctional education on juvenile delinquents and the factors for their overall changes: Focusing on academic performance and family‐type environment

This study aimed to explore the effects of correctional education on juvenile delinquents at a children's self‐reliance support facility in Japan, which provides delinquents with familial environments and multidimensional, comprehensive education. The purpose of this study was to compare the youth's academic performance and resilience from the time of admission to discharge and to identify which interventions improved participants' academic performance and resilience. We examined juvenile database records and “juvenile diaries” of 283 male youth. Participants were categorized into either an Improvement Group (IG) or a No‐Improvement Group (No‐IG) based on their outcome at discharge. The results showed that their academic performance and resilient characteristics were significantly higher at discharge than at admission. Employing single logistic regression, we found that the length of stay, academic performance, and the number of visits by family and social workers were characteristics associated with membership in the IG. These findings can guide future clinical practices and measures implemented for juvenile delinquents.