A Review of Recent Advances in Benchmark Dose Methodology

In this review, recent methodological developments for the benchmark dose (BMD) methodology are summarized. Specifically, we introduce the advances for the main steps in BMD derivation: selecting the procedure for defining a BMD from a predefined benchmark response (BMR), setting a BMR, selecting a dose–response model, and estimating the corresponding BMD lower limit (BMDL). Although the last decade has shown major progress in the development of BMD methodology, there is still room for improvement. Remaining challenges are the implementation of new statistical methods in user‐friendly software and the lack of consensus about how to derive the BMDL.     

A Novel Approach to Chemical Mixture Risk Assessment—Linking Data from Population‐Based Epidemiology and Experimental Animal Tests

Humans are continuously exposed to chemicals with suspected or proven endocrine disrupting chemicals (EDCs). Risk management of EDCs presents a major unmet challenge because the available data for adverse health effects are generated by examining one compound at a time, whereas real‐life exposures are to mixtures of chemicals. In this work, we integrate epidemiological and experimental evidence toward a whole mixture strategy for risk assessment. To illustrate, we conduct the following four steps in a case study: (1) identification of single EDCs (“bad actors”)—measured in prenatal blood/urine in the SELMA study—that are associated with a shorter anogenital distance (AGD) in baby boys; (2) definition and construction of a “typical” mixture consisting of the “bad actors” identified in Step 1; (3) experimentally testing this mixture in an in vivo animal model to estimate a dose–response relationship and determine a point of departure (i.e., reference dose [RfD]) associated with an adverse health outcome; and (4) use a statistical measure of “sufficient similarity” to compare the experimental RfD (from Step 3) to the exposure measured in the human population and generate a “similar mixture risk indicator” (SMRI). The objective of this exercise is to generate a proof of concept for the systematic integration of epidemiological and experimental evidence with mixture risk assessment strategies. Using a whole mixture approach, we could find a higher rate of pregnant women under risk (13%) when comparing with the data from more traditional models of additivity (3%), or a compound‐by‐compound strategy (1.6%).     

An analysis of anti-money laundering in the German non-financial sector

Journal of Management and Governance - European anti-money laundering (AML) law obliges both financial and non-financial private companies to contribute to combatting money laundering. Since the...     

Kendall's tau for serial dependence

The authors show how Kendall's tau can be adapted to test against serial dependence in a univariate time series context. They provide formulas for the mean and variance of circular and noncircular versions of this statistic, and they prove its asymptotic normality under the hypothesis of independence. They present also a Monte Carlo study comparing the power and size of a test based on Kendall's tau with the power and size of competing procedures based on alternative parametric and nonparametric measures of serial dependence. In particular, their simulations indicate that Kendall's tau outperforms Spearman's rho in detecting first‐order autoregressive dependence, despite the fact that these two statistics are asymptotically equivalent under the null hypothesis, as well as under local alternatives.     

La motivation,nouvelle inflexion rhétorique dans la mobilisation de la main-d'oeuvre? L'exemple du marché du travail intérimaire en France

L'article pose la question d'une nouvelle inflexion rhétorique dans les régimes de mobilisation et de sélection de la main-d'oeuvre avec le recours systématique à la notion de «motivation» qui semble franchir un palier supplémentaire par rapport aux paradigmes précédents de qualification et de compétence en s'affranchissant totalement de l'idée de «capacités à tenir un poste de travail». Ce changement de paradigme sera interrogé à partir de l'analyse des critères de recrutement utilisés par les entreprises de travail temporaire qui constituent un observatoire privilégié des mutations contemporaines dans les relations d'emploi. Les entreprises de travail temporaire jouent sur le marché du travail un rôle de médiation à l'embauche de plus en plus important, par le biais en particulier d'une externalisation de la gestion des ressources humaines en plein développement. Elles contribuent ce faisant de manière tout aussi conséquente à définir et diffuser des nouvelles normes d’«employabilité».     

Human Empowerment and Trust in Strangers: The Multilevel Evidence

This study aimed to develop a social cohesion index for understanding the social relation between residents in high-rise group housing complexes through a self-reported questionnaire. As a background of the study, literature on social cohesion and related literature on residents’ social relation in high-rise housing were reviewed. Later, we selected different high-rise group housings of Kolkata, a city in the eastern region of India. We conducted few focus group surveys involving the residents of those high-rises and also conducted expert opinion surveys to identify a context-specific list of statements for evaluating residential social cohesion. Finally, based on the responses of interviews from 652 residents of the identified high-rise housings from the same city, followed by confirmatory factor analyses, three factors of residential social cohesion were identified with adequate reliability and validity. This index holds huge potential to explore residential social relation in high-rise housing and carry out empirical studies, across various disciplines, in other cities in the country and outside the country of similar socio-economic and cultural context.     

Nordic social workers' assessments of child welfare problems and interventions: a common model in child welfare?

In international comparison, the Nordic countries are characterised by similar policy goals and institutional contexts in child welfare. But is it also possible to talk about a common Nordic model in child welfare at the level of social work practices? And if so, to what extent do the results match the ideal model of ‘preventive and family service oriented Nordic child welfare’? This article investigates similarities and variations in Nordic social workers' assessments concerning child welfare problems and possible interventions by using vignettes and focus group interviews in case studies in four capital areas: Copenhagen, Helsinki, Oslo and Stockholm. The results seem to confirm the assumption of a preventive and family service oriented Nordic child welfare system regarding social work practices with smaller children, but not when adolescents are concerned.     

Careers and productivity in an internal labor market

This paper contributes to the existing literature by evaluating the effects of age and tenure on careers and productivity within an internal labor market. We use the administrative personnel records of a long balanced panel of blue-collar workers from a manufacturing firm in Germany with a distinct classification of wage groups and unique information on workers’ productivity in form of suggestions for productivity improvement. Using robust locally weighted regression, our main findings suggest that the probability of promotion is highest for younger workers and early in the career. Older workers are less likely to be promoted. The likelihood of making a rewarded suggestion is inversely u-shaped with respect to tenure and age. Furthermore, workers’ ability and firm-specific human capital determine the workers’ careers and productivity.     

Sequential Monte Carlo on large binary sampling spaces

A Monte Carlo algorithm is said to be adaptive if it automatically calibrates its current proposal distribution using past simulations. The choice of the parametric family that defines the set of proposal distributions is critical for good performance. In this paper, we present such a parametric family for adaptive sampling on high dimensional binary spaces. A practical motivation for this problem is variable selection in a linear regression context. We want to sample from a Bayesian posterior distribution on the model space using an appropriate version of Sequential Monte Carlo. Raw versions of Sequential Monte Carlo are easily implemented using binary vectors with independent components. For high dimensional problems, however, these simple proposals do not yield satisfactory results. The key to an efficient adaptive algorithm are binary parametric families which take correlations into account, analogously to the multivariate normal distribution on continuous spaces. We provide a review of models for binary data and make one of them work in the context of Sequential Monte Carlo sampling. Computational studies on real life data with about a hundred covariates suggest that, on difficult instances, our Sequential Monte Carlo approach clearly outperforms standard techniques based on Markov chain exploration.