Towards renewed fears of population and family decline?

This paper examines the extent to which governments have been concerned by the demographic changes which have taken place since the 1960s. The comparative analysis, based on a review of selected demographic-related state initiatives, reveals major differences across countries in the attitudes of governments to population and family issues. The paper also contrasts the differences between the post-1960s situation and the 1930s one when the low fertility levels and the transformations undergone by the family had also captured the attention of governments. The paper then concludes by looking at the role played by non-governmental social actors in the discussion surrounding population and family issues.     

Impact of marital and psychological distress on therapeutic alliance in couples undergoing couple therapy

In this study, we describe the psychometric properties of the Couple Therapy Alliance Scale--revised (CTAS-r) and investigates the impact of marital and psychiatric distress on alliance. Seventy-nine couples in therapy completed a French version of the Dyadic Adjustment Scale and of the Psychiatric Symptoms Index at session one, and a French version of the CTAS-r at session three. Results indicate that the French version of the CTAS-r has adequate psychometric properties, although the subscales of the instrument are highly intercorrelated. Furthermore, marital adjustment predicts alliance scores, whereas psychiatric symptoms do not. Finally, male marital adjustment and female psychiatric symptoms are lower in couples where spouses have divergent perceptions of the alliance. Future research directions are discussed.     

Using Adjacent-category Logits Procedure for Estimating Receiver Operating Characteristic Surface

This article presents a semiparametric method for estimating receiver operating characteristic surface under density ratio model. The construction of the proposed method is based on the adjacent-category logit model and the empirical likelihood approach. A bootstrap approach for the VUS estimator inference is presented. In a simulation study, the proposed estimator is compared with the existing parametric and nonparametric estimators in terms of bias, standard error, and mean square error. Finally, a real data example and some discussions on the proposed method are provided.     

A vision of re-distributed manufacturing for the UK’s consumer goods industry

Abstract

The linear production of consumer goods is characterised by mass manufacture, multinational enterprises and globally dispersed supply chains. Redistributed manufacture (RDM) is an emerging topic, which seeks to enable a transition of the current linear model of production and consumption, by taking advantage of new technologies. This paper aims to explore the challenges, opportunities and further research questions to set a vision of Redistributed manufacturing for the UK’s consumer goods industry. To set this vision, a literature survey was conducted followed by a qualitative enquiry where PESTLE¹ aspects of RDM were analysed. This analysis was interpreted through a roadmap. As a result of this roadmap, four RDM characteristics (i.e. customisation, use of digital technologies, local production and the development of new business models) were identified. These characteristics helped to set the future vision of RDM in the UK’s consumer goods sector.     

Continuing to work after the onset of rheumatoid arthritis

The aim of this qualitative study was to explore and describe what have made it possible for a group of people with rheumatoid arthritis to remain in work. There were ten participants, six women and four men, aged from 32 to 59. They were working either full time or part-time, at the time the study was conducted. Data was gathered using focus group interviews. The transcribed interviews were analysed in accordance with the constant comparative method. The result showed that the assets the individuals possessed and the character of the environment in which they worked were important reasons why they were able to remain in employment. Four main categories were identified: the constructive value of work, the characteristics of work, physical health and well-being and the understanding and support of colleagues. The findings support a client-centred occupational therapy and rehabilitation, where the experiences of the person provide the reason for the intervention.     

Nested Kriging predictions for datasets with a large number of observations

This work falls within the context of predicting the value of a real function at some input locations given a limited number of observations of this function. The Kriging interpolation technique (or Gaussian process regression) is often considered to tackle such a problem, but the method suffers from its computational burden when the number of observation points is large. We introduce in this article nested Kriging predictors which are constructed by aggregating sub-models based on subsets of observation points. This approach is proven to have better theoretical properties than other aggregation methods that can be found in the literature. Contrarily to some other methods it can be shown that the proposed aggregation method is consistent. Finally, the practical interest of the proposed method is illustrated on simulated datasets and on an industrial test case with \(10^4\) observations in a 6-dimensional space.     

Strategic ambiguity and decision-making: an experimental study

We conducted a set of experiments to compare the effect of ambiguity in single-person decisions and games. Our results suggest that ambiguity has a bigger impact in games than in ball and urn problems. We find that ambiguity has the opposite effect in games of strategic substitutes and complements. This confirms a theoretical prediction made by Eichberger and Kelsey (J Econ Theory 106:436–466, 2002). In addition, we note that subjects’ ambiguity attitudes appear to be context dependent: ambiguity loving in single-person decisions and ambiguity averse in games. This is consistent with the findings of Kelsey and le Roux (Theory Decis 79:667–688, 2015).     

Combining ROC curves using MAMSE weighted distributions

The receiver operating characteristic (ROC) curve can be used to evaluate the properties of a diagnostic test from the distribution of a variable on the healthy and diseased populations. The minimum averaged mean squared error (MAMSE) weights were developed to handle data from different sources by adjusting the relative contribution of each data source. The authors use the MAMSE weights to infer the ROC curve of a diagnostic test based on raw data from multiple studies. The proposed estimates are consistent and Monte Carlo simulations show favourable finite sample performance. The method is illustrated in a case study where progesterone level is used to detect ectopic pregnancies and abortions from other natural causes. The Canadian Journal of Statistics 46: 298–315; 2018 © 2018 Statistical Society of Canada