Assessing the Barriers to Achieving Genuine Housing Choice for Adults with a Learning Disability: The Views of Family Carers and Professionals

It has been reported that the capability of adults with a learningdisability to choose their housing is too often impeded by theviews and actions of their family carers and involved professionals(McGlaughlin and Gorfin, with Saul, in press). This study furtherexplores these apparent barriers to providing genuine housingchoice for adults with learning disabilities. It discusses findingsfrom a series of focus groups which explored family and professionalviews about housing and choice. The views expressed indicatethat risk is a fundamental concern for both professionals andfamilies when considering more independent housing for thisgroup. Although opportunities for choice were generally supported,many argued for the need to assess the ability to make informeddecisions. There were also examples of problematic relationshipsbetween professionals and carers, creating a barrier to choice.Carers need involvement, information and support during thedevelopment of housing plans if the needs of the primary serviceusersare to be met. The barriers identified have to be removed ifservice-users are to truly become the focus of decisions andbe enabled to make genuine informed choices.     

Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts

High levels of prenatal alcohol exposure (PAE) result in significant cognitive deficits in children, but the exact nature of the dose-response relationship is less well understood. To investigate this relationship, data were assembled from six longitudinal birth cohort studies examining the effects of PAE on cognitive outcomes from early school age through adolescence. Structural equation models (SEMs) are a natural approach to consider, because of the way they conceptualise multiple observed outcomes as relating to an underlying latent variable of interest, which can then be modelled as a function of exposure and other predictors of interest. However, conventional SEMs could not be fitted in this context because slightly different outcome measures were used in the six studies. In this paper we propose a multi-group Bayesian SEM that maps the unobserved cognition variable to a broad range of observed outcomes. The relation between these variables and PAE is then examined while controlling for potential confounders via propensity score adjustment. By examining different possible dose-response functions, the proposed framework is used to investigate whether there is a threshold PAE level that results in minimal cognitive deficit.     

Improving OpenURL Menus: User Testing of Revisions to SFX® Menus

Abstract

Twenty-one volunteers tested the usability of revisions to the Texas A&M University Libraries' SFX® OpenURL link resolver menus, including the addition of Ex Libris' new bXâ?¢ recommendation service and a plug-in which pulls additional information about the journal into the menu. The volunteers also evaluated the quality and desirability of the bX recommendations and discussed their preferences for help options and full-text format. Results of the usability testing are reported along with the resultant menu changes. This study will be of interest to librarians implementing or redesigning OpenURL menus as well as those interested in the user experience.     

A mixture of experts latent position cluster model for social network data

Social network data represent the interactions between a group of social actors. Interactions between colleagues and friendship networks are typical examples of such data.The latent space model for social network data locates each actor in a network in a latent (social) space and models the probability of an interaction between two actors as a function of their locations. The latent position cluster model extends the latent space model to deal with network data in which clusters of actors exist — actor locations are drawn from a finite mixture model, each component of which represents a cluster of actors.A mixture of experts model builds on the structure of a mixture model by taking account of both observations and associated covariates when modeling a heterogeneous population. Herein, a mixture of experts extension of the latent position cluster model is developed. The mixture of experts framework allows covariates to enter the latent position cluster model in a number of ways, yielding different model interpretations.Estimates of the model parameters are derived in a Bayesian framework using a Markov Chain Monte Carlo algorithm. The algorithm is generally computationally expensive — surrogate proposal distributions which shadow the target distributions are derived, reducing the computational burden.The methodology is demonstrated through an illustrative example detailing relationships between a group of lawyers in the USA.     

Applications of Bayesian statistical methodology to clinical trial design: A case study of a phase 2 trial with an interim futility assessment in patients with knee osteoarthritis

Development of new pharmacological treatments for osteoarthritis that address unmet medical needs in a competitive market place is challenging. Bayesian approaches to trial design offer advantages in defining treatment benefits by addressing clinically relevant magnitude of effects relative to comparators and in optimizing efficiency in analysis. Such advantages are illustrated by a motivating case study, a proof of concept, and dose finding study in patients with osteoarthritis. Patients with osteoarthritis were randomized to receive placebo, celecoxib, or 1 of 4 doses of galcanezumab. Primary outcome measure was change from baseline WOMAC pain after 8 weeks of treatment. Literature review of clinical trials with targeted comparator therapies quantified treatment effects versus placebo. Two success criteria were defined: one to address superiority to placebo with adequate precision and another to ensure a clinically relevant treatment effect. Trial simulations used a Bayesian dose response and longitudinal model. An interim analysis for futility was incorporated. Simulations indicated the study had ≥85% power to detect a 14‐mm improvement and ≤1% risk for a placebo‐like drug to pass. The addition of the second success criterion substantially reduced the risk of an inadequate, weakly efficacious drug proceeding to future development. The study was terminated at the interim analysis due to inadequate analgesic efficacy. A Bayesian approach using probabilistic statements enables clear understanding of success criteria, leading to informed decisions for study conduct. Incorporating an interim analysis can effectively reduce sample size, save resources, and minimize exposure of patients to an inadequate treatment.     

Mind‐mindedness and self–other distinction: Contrasts between Japanese and British mothers’ speech samples

To elucidate cultural contrasts in children's family environments, we conducted in‐depth, direct comparisons of mind‐mindedness and self–other distinction from maternal speech. The study included 5‐min speech samples of 225 mothers from Japan (N = 111) and the U.K. (N = 114) talking about their 3‐ to 6‐year‐old children (including 11 sibling pairs, n = 236). Compared with Japanese mothers, British mothers spoke significantly more, gave a significantly higher proportion of child‐focused and mind‐related comments, and also showed a stronger self–other distinction. In addition, within each country, there was a positive relation between mothers’ references to children in the singular (as opposed to plural) form and their mind‐mindedness. Together, the current findings highlight cultural variations in maternal mind‐mindedness, explicit–implicit communication style, and self–other distinction, and also suggest further exploration of relations among them.