A nonparametric hypothesis test for heteroscedasticity

In this paper, a hypothesis test for heteroscedasticity is proposed in a nonparametric regression model. The test statistic, which uses the residuals from a nonparametric fit of the mean function, is based on an adaptation of the well-known Levene's test. Using the recent theory for analysis of variance when the number of factor levels goes to infinity, the asymptotic distribution of the test statistic is established under the null hypothesis of homocedasticity and under local alternatives. Simulations suggest that the proposed test performs well in several situations, especially when the variance is a nonlinear function of the predictor.     

State transition modeling of complex monitored health data

This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set of covariates. In particular, we consider a novel application of a non-parametric state intensity regression method in order to study time-dependent effects of covariates on the state transition intensities. The method can handle baseline, time varying as well as dynamic covariates. Because of the non-parametric nature, the method can handle different data types and challenges under minimal assumptions. If the signal that is reflecting the current health status is of continuous nature, we propose the application of a weighted median and a hysteresis filter as data pre-processing steps in order to facilitate robust analysis. In intensity regression, covariates can be aggregated by a suitable functional form over a time history window. We propose to study the estimated cumulative regression parameters for different choices of the time history window in order to investigate short- and long-term effects of the given covariates. The proposed framework is discussed and applied to resuscitation data of newborns collected in Tanzania.     

Bayesian t-tests for correlations and partial correlations

In this paper, we develop Bayes factor based testing procedures for the presence of a correlation or a partial correlation. The proposed Bayesian tests are obtained by restricting the class of the alternative hypotheses to maximize the probability of rejecting the null hypothesis when the Bayes factor is larger than a specified threshold. It turns out that they depend simply on the frequentist t-statistics with the associated critical values and can thus be easily calculated by using a spreadsheet in Excel and in fact by just adding one more step after one has performed the frequentist correlation tests. In addition, they are able to yield an identical decision with the frequentist paradigm, provided that the evidence threshold of the Bayesian tests is determined by the significance level of the frequentist paradigm. We illustrate the performance of the proposed procedures through simulated and real-data examples.     

The nutrition-related information seeking behaviours and attitudes of pregnant women with a high BMI: A qualitative study

BackgroundThe prevalence of high body mass index is increasing amongst women of child bearing age. High maternal body mass index has ramifications for both mother and baby including increased health risks from gestational diabetes mellitus, caesarean section and stillbirth. Despite the increasing prevalence of high maternal body mass index little is known of the experiences of these women regarding nutrition information access and use during the antenatal period.MethodsA qualitative study using individual interviews was undertaken at a tertiary hospital in south-eastern Australia. Twenty-Eight women with a body mass index ≥30 kg/m² participated. Interviews were audio recorded, transcribed, cross-checked for consistency and entered into a word processing document for further scrutiny. Data was analysed using interpretative phenomenological analysis (IPA). In any phenomenological study the researcher’s objective is to elicit the participant’s views on their lived experiences.FindingsThree major themes emerged: (1) Nutrition-related information attainment; (2) Nutrition-related information management; (3) Nutrition-related information needs and wants.ConclusionThe findings from this study may assist the future development and dissemination of nutrition-related information for pregnant women with a high body mass index. Women want more individualised support regarding nutritional requirements during pregnancy.     

Reinvigorating the social contract and strengthening social cohesion: Social protection responses to COVID-19

The COVID-19 pandemic has exposed the vulnerability of those who are inadequately covered by social protection in more and less developed countries alike, and has exacerbated the fragility of a social contract that was already under strain in many countries. A weak social contract in the context of an exceptional crisis poses a very real risk to social cohesion. Nevertheless, many States have reasserted themselves as the guarantor of rights by protecting public health and incomes. By sustaining these measures, economic recovery will be supported which will help minimize risks that may weaken social cohesion. However, this is a fast-moving, inherently unstable and protracted crisis. Social protection stands at a critical juncture. Decisive policy action will be required to strengthen social protection systems, including floors, as one of the cornerstones of a reinvigorated social contract.     

印度对中印跨境河流水关系的认知及战略选择

近年来,印度对中印在跨境河流水关系中的不平衡问题非常重视.其中,水文信息不对称以及收益不平衡是印度对水关系不平衡的两个主要认知.基于中印边境的互动历史,印度在对水关系的认知形成中往往会夸大中国的敌意与威胁.据此,印度试图通过建立制度框架、将中印水争议国际化以及竞争性开发跨境河流水资源的战略思维,平衡中国在雅鲁藏布江—布拉马普特拉河水关系中的优势地位.然而受水外交两面性特征和内政的掣肘,印度平衡战略的影响有限,而且更强化了其对雅鲁藏布江—布拉马普特拉河战略安全收益的重视,并使未来中印双方基于水资源共同利益进行合作的难度加大.     

Mothering and everyday life during and in the aftermath of domestic violence among women with immigrant backgrounds in Norway

This paper focuses on how immigrant women experience and negotiate their everyday life with children prior to and after leaving a violent partner. Twenty‐three women staying at domestic violence and abuse shelters with their children were interviewed about their experiences with assistance services and their everyday life with their children. At the time of the interviews, most of the women were legally separated or divorced and were either living in or in touch daily with shelters. In this paper, we look at some of the challenges that women face when exposed to violence in a relationship that involves children. Being exposed to violence from a partner raises a number of economic, practical, and emotional concerns, both prior to and after leaving. For the mothers in our study, maintaining a regular routine is key to making the children feel safe in an unpredictable setting. For many, economic dependence on the partner is replaced with economic dependence on assistance services after leaving the partner. Services must recognize that providing help to mothers who have left a violent partner constitutes more than just practical support but is crucial for mothers' ability to re‐establish a predictable everyday life with their children.     

Engagement with sustainability at the International Labour Organization and wider implications for collective worker voice

Sustainability objectives have been recognized by the ILO primarily in terms of the impact of environmental protection in the form of “just transition” and “green job” initiatives. Arguably, the Sustainable Development Goals (SDGs) now offer richer scope for ILO engagement with social sustainability. This can be attributed to the prominent recognition of “decent work” in SDG 8 and the need for “responsive, inclusive, participatory and representative decision-making at all levels” in SDG target 16.7. This article examines how the ILO could further promote collective worker voice in the context of debates over a sustainable “future of work”, particularly considering to whom voice is given and how it is exercised.     

Contribution analysis to analyze the effects of the health impact assessment at the local level: A case of urban revitalization

The health impact assessment (HIA) is a tool used to estimate the potential impact on health of non-health-related proposals prior to implementation. While it is increasingly used in Quebec, Canada, studies have not analyzed its medium-term impacts and potential long-term impacts. We conducted a contribution analysis using in-depth interviews with key stakeholders, as well as documents, observation and images related to HIA in order to analyze its impacts on the revitalization of road infrastructure, parks and green spaces, and residential housing. Our analysis not only reflects on the decision-making process through the adoption and implementation of HIA recommendations, but also on the link between actions implemented in the field and health outcomes.