Women's home attachment at first birth

The impact of the transition to parenthood on the labour-force activity of Swedish women one year after first birth is studied using data from the 1981 Swedish Fertility Survey. The probability of remaining at home one year after delivery is found to be significantly affected by length of education, marital status, early labour-force withdrawal and duration of union. Highly educated women seem to have already established a pattern of low home attachment by the mid-50s. Women with less education have tended to ‘catch-up’ with this low home attachment over time. For women with a medium level of education there is, however, a slight reversal of this downward trend toward the end of the 1970s.     

Statisticians in European regulatory agencies

The UK body of statisticians in the pharmaceutical industry, PSI, has called on heads of European regulatory agencies responsible for assessing applications for marketing authorizations for new medicines in the EU to employ full time statisticians. In order to assess the present situation a survey has been conducted to identify the number of agencies employing one or more full time statisticians. Out of 29 responding agencies, 12 employed one or more statisticians on a full time basis, whereas 17 did not. Among these 17, 7 involved external experts on a regular basis, 5 involved external statisticians on a case‐by‐case basis, whereas 5 never involved external statistical expertise. Failure to involve statisticians in the assessment of efficacy and safety of medicines does not automatically lead to reports of low quality or invalid assessment of benefit‐risk. However, in depth knowledge of statistical methodology is often necessary to uncover weaknesses and potentially biased efficacy estimates. This might be of importance for the final opinion on granting a marketing authorization, and statistical review should therefore be conducted by those who are professionally expert in the area. A positive trend toward an increased involvement of statistical expertise in the European network of regulatory agencies is observed. Copyright © 2009 John Wiley & Sons, Ltd.     

Modeling healthcare costs in simultaneous presence of asymmetry,heteroscedasticity and correlation

Highly skewed outcome distributions observed across clusters are common in medical research. The aim of this paper is to understand how regression models widely used for accommodating asymmetry fit clustered data under heteroscedasticity. In a simulation study, we provide evidence on the performance of the Gamma Generalized Linear Mixed Model (GLMM) and log-Linear Mixed-Effect (LME) model under a variety of data-generating mechanisms. Two case studies from health expenditures literature, the cost of strategies after myocardial infarction randomized clinical trial on the cost of strategies after myocardial infarction and the European Pressure Ulcer Advisory Panel hospital prevalence survey of pressure ulcers, are analyzed and discussed. According to simulation results, the log-LME model for a Gamma response can lead to estimations that are biased by as much as 10% of the true value, depending on the error variance. In the Gamma GLMM, the bias never exceeds 1%, regardless of the extent of heteroscedasticity, and the confidence intervals perform as nominally stated under most conditions. The Gamma GLMM with a log link seems to be more robust to both Gamma and log-normal generating mechanisms than the log-LME model.     

Sufficient Reduction in Multivariate Surveillance

The relation between change points in multivariate surveillance is important but seldom considered. The sufficiency principle is here used to clarify the structure of some problems, to find efficient methods, and to determine appropriate evaluation metrics. We study processes where the changes occur simultaneously or with known time lags. The surveillance of spatial data is one example where known time lags can be of interest. A general version of a theorem for the sufficient reduction of processes that change with known time lags is given. A simulation study illustrates the benefits or the methods based on the sufficient statistics.     

20 years of Bologna - a story of success,a story of failure

The Bologna Process is a unique harmonisation process taking place outside the policy-making framework of the European Union. It aims at enhancing the comparability and compatibility of higher education structures and degrees across Europe, as well as to institutionalise quality assurance mechanisms. The aim of this article is to provide a condensed, up-to-date overview of the Bologna Process with regard to structural characteristics, before embedding it into a discussion on processes on voluntary policy convergence and to which extent we should be able to find this kind of policy harmonisation in the realm of the Bologna Process. Related to this are questions why this, in principle, completely voluntary process of policy harmonisation, has appealed to so many countries and why they might or might not feel committed to the implementation of its policies and tools.     

Multiple hypothesis tests based On conditional differences in means

Many hypothesis tests are univariate tests and cannot cope with multiple hypothesis without an auxiliary procedure as e. g. the Bonferroni-Holm-procedure. At the same time, there is an urgent need for testing multiple hypothesis due to the very simple existing methods as the Bonferroni-correction or the Bonferroni-Holm-procedure, which suffers from a very small local significance level to detect statistical inferences or the drawback that logical and statistical dependencies among the test statistics are not used, whereby its detection is NP-hard. In honour of this occasion, we present a multiple hypothesis test for i.i.d. random variables based on conditional differences in means, which is capable to cope with multiple hypothesis and does not suffer on such drawbacks as the Bonferroni-correction or the Bonferroni-Holm-procedure. Thereby, the computation time can be neglected.     

Assessing the role of hope in processes of transitional justice: mobilizing and disciplining victims in Sierra Leone’s truth commission and reparations programme

Existing studies have not been able to take the role of hope in processes of transitional justice (TJ) into account, as they focus on how TJ changes institutions and the relationships between individuals and therefore conclude that failed processes of TJ have no effect. In contrast to this approach, a different understanding of power as productive helps to understand how TJ-instruments create hope and which effects this has on how people conceive of themselves and the world they live in. A framework for analysing such processes is introduced that brings together individual meaning-making of hope and hopelessness with the role of the state in the provision of hope in the context of uncertainty. Transitional justice is therefore discussed as a performative project that aims at triggering specific emotions among the persons taking part in it and the broader society and at creating a vision of a better future based on social equality through the protection and fulfilment of human rights. By applying this framework to the case of the Sierra Leone truth and reconciliation commission and the reparations programme, it is argued that hope had a mobilizing as well as a disciplining function in these instruments. The promise of support mobilized victims to provide statements to the truth commission, and therefore enabled the commission to work in the first place. However, it failed in its attempt to discipline victims in their feelings about the past violence. The reparations programme constituted the embodiment of these promises, but victims interpreted its inadequate benefits and bad management as a proof that the state still does not care for them and competition over benefits is the norm despite their entitlement to support. This experience destroyed the hopes of many victims and created social envy among them, preventing the development of solidarity among victims and the chance for resistance against this policy.