On a multiple endpoints testing problem

In a clinical trial comparing drug with placebo, where there are multiple primary endpoints, we consider testing problems where an efficacious drug effect can be claimed only if statistical significance is demonstrated at the nominal level for all endpoints. Under the assumption that the data are multivariate normal, the multiple endpoint-testing problem is formulated. The usual testing procedure involves testing each endpoint separately at the same significance level using two-sample t-tests, and claiming drug efficacy only if each t-statistic is significant. In this paper we investigate properties of this procedure. We show that it is identical to both an intersection union test and the likelihood ratio test. A simple expression for the p-value is given. The level and power function are studied; it is shown that the test may be conservative and that it is biased. Computable bounds for the power function are established.     

Gone Missing? Disabled children living away from their families

Many disabled children spend most of their childhood in 'care', but not formally 'in care'. Research concerning disabled children has been dominated by a medical model of disability and by a failure to include the subjective reality of children themselves. There is also inadequate statistical information available concerning children who spend most of their time away from a family setting. The article looks at what we do know about such experiences, identifying some issues for future research.     

Regression Modelling of Disease Risk in Relation to Point Sources

We describe a class of models for the investigation of possible raised risk of disease around putative sources of environmental pollution. An adaptation of the point process method suggested by Diggle and Rowlingson is presented, allowing the use of routinely available aggregated data and incorporating the more general distance–risk model suggested by Elliott and co-workers. An application to data on cancers of the stomach around municipal solid waste incinerators is presented.     

Exponential Family Models for sampled and census Network data

Much progress has been made on the development of statistical methods for network analysis in the past ten years, building on the general class of exponential family random graph (ERG) network models first introduced by Holland and Leinhardt (1981) . Recent examples include models for Markov graphs, "p*" models, and actor‐oriented models. For empirical application, these ERG models take a logistic form, and require the equivalent of a network census: data on all dyads within the network. In a largely separate stream of research, conditional log‐linear (CLL) models have been adapted for analyzing locally sampled ("egocentric") network data. While the general relation between log‐linear and logistic models is well known and has been exploited in the case of a priori blockmodels for networks, the relation for the CLL models is different due to the treatment of absent ties. For fully saturated tie independence models, CLL and ERG are equivalent and related via Bayes' rule. For other tie independence models, the two do not yield equivalent predicted values, but we show that in practice the differences are unlikely to be large. The alternate conditioning in the two models sheds light on the relationship between local and complete network data, and the role that models can play in bridging the gap between them.     

Socioeconomic Strain,Family Ties,and Adolescent Health in a Rural Northeastern County

In adolescence, vital sources of support come from family relationships; however, research that considers the health‐related impact of ties to both parents and siblings is sparse, and the utility of such ties among at‐risk teens is not well understood. Here we use two waves of panel data from the population of 8th and 12th grade students in a geographically isolated, rural, northeastern U.S. county to assess whether socioeconomic status (SES) moderates the effects of parental and sibling attachments on three indicators of adolescent health: obesity, depression, and problem substance use. Our findings indicate that, net of stressful life events, prior health, and sociodemographic controls, increases in parental and sibling attachment correspond with reduced odds of obesity for low‐SES adolescents, reduced odds of depression for high‐SES adolescents, and reduced odds of problem substance use for low‐SES adolescents. Results suggest also that sibling and maternal ties are more influential than paternal ties, at least with regard to the outcomes considered. Overall, the findings highlight the value of strong family ties for the physical, psychological, and behavioral health of socioeconomically strained rural teens, and reveal the explanatory potential of both sibling and parental ties for adolescent health.     

Shame,Sexual Compulsivity,and Eroticizing Flirtatious Others: An Experimental Study

Clinical observation and correlational studies with nonclinical samples suggest that a linkage between negative affective states (especially shame) and engagement in erotic pursuits typifies sexual compulsivity. The present study tested whether experimental induction of shame leads to increased interest in erotically suggestive targets among more sexually compulsive individuals. A total of 74 age-traditional heterosexual university students first recalled either an emotionally neutral or a shame-inducing personal experience, then completed a nonpredictive gaze-cueing task featuring flirtatious or emotionally neutral faces of the same or opposite sex. They also rated the faces’ attractiveness and completed a validated sexual compulsivity scale and two control measures (executive control, sociosexuality). Higher (versus lower) sexual compulsivity predicted weaker gaze-triggered attentional orienting in response to the flirtatious opposite-sex face in the shame (versus neutral) condition, and this was accounted for by (higher) attractiveness ratings of the flirtatious opposite-sex face. Shame thus appears to increase sexualization (i.e., reduces salience of agentic features and increases appeal of physical attributes) of erotically suggestive targets among more sexually compulsive individuals.     

Understanding preferences for tree attributes: the relative effects of socio-economic and local environmental factors

Urban plant biodiversity is influenced by both the physical environment and attitudes and preferences of urban residents for specific plant types. Urban residents are assumed to be disconnected from their immediate environment, and cultural and societal factors have been emphasized over environmental factors in studies of landscaping choices. However, we postulate that local climatic and environmental factors can also affect preferences for plant attributes. Therefore, spatial and temporal patterns in urban tree biodiversity may be driven not only by the direct effect of environmental variables on plant function, but also by the effect of environmental variables on attitudes toward trees and associated choices about which types of trees to plant. Here, we tested the relative effects of socio-economic and local environmental factors on preferences toward tree attributes in five counties in southern California in and surrounding Los Angeles, based on 1,029 household surveys. We found that local environmental factors have as strong an effect on preferences for tree attributes as socio-economic factors. Specifically, people located in hotter climates (average maximum temperature 25.1 °C) were more likely to value shade trees than those located in cooler regions (23.1 °C). Additionally, people located in desert areas were less likely to consider trees to be important in their city compared with people located in naturally forested areas. Overall, our research demonstrates the inherent connections between local environmental factors and perceptions of nature, even in large modern cities. Accounting for these factors can contribute to the growing interest in understanding patterns of urban biodiversity.     

Adoption and Termination of Employee Involvement Programs

Using an interview survey of manufacturing establishments that provide 10 years of retrospective data on labor practices, we investigate factors associated with the adoption and termination of employee involvement programs and the relation between these and other human resource policies. In the period studied, more firms introduced than terminated such programs but a sufficiently large number chose to eliminate such programs to indicate that employee involvement does not fit in all business settings. Our results show that business strategy and the use of other complementary human resource policies affect the dynamics of employee involvement use in US manufacturing establishments.     

On the Edge: the Financial Situation of Older Renters in the Private Rental Market in Sydney

In this study, based mainly on 17 in‐depth interviews, I explore the financial implications of being an older private renter in Sydney. I illustrate that there are three key factors which determine their degree of financial stress – the actual rent being paid; the degree of support from family members and whether the older renter is living in a single or couple household. It is shown that several of the older renters interviewed found it hard to maintain their physical and mental health. The purchasing of basic items such as nutritious food and clothes was difficult. Having to devote such a substantial part of their income to cover the rent and never knowing when there would be another rent increase had a serious impact on the psychological health of some interviewees. The lack of finances encouraged isolation as interviewees found it financially difficult to participate in social activities.