Bargaining is a ubiquitous feature of social and economic interactions.
The book pursues two main goals. From a methodological point of view, game theoretic models and agent-based models are comparatively analysed. This provides an insightful case study about the vices and virtues of both methods with regards to the trade-off between analytic rigour and descriptive detail. From a practical point of view, valuable insights can be drawn about different strategies’ success, fairness and efficiency. It is shown how those properties change with environmental circumstances.
DARIAH (Digital Research Infrastructure for the Arts and Humanities) is part of the European Strategy on Research Infrastructures. Among 38 projects originally on this roadmap, DARIAH is one of two projects addressing social sciences and humanities. According to its self-conception and its political mandate DARIAH has the mission to enhance and support digitally-enabled research across the humanities and arts. DARIAH aims to develop and maintain an infrastructure in support of ICT-based research practices. One main distinguishing aspect of DARIAH is that it is not focusing on one application domain but especially addresses the support of interdisciplinary research in the humanities and arts. The present paper first gives an overview on DARIAH as a whole and then focuses on the important aspect of technical, syntactic and semantic interoperability. Important aspects in this respect are metadata registries and crosswalk definitions allowing for meaningful cross-collection and inter-collection services and analysis.
Background and aims: Hypoglycaemia is an important concern for patients with diabetes and physicians when setting glycaemic targets. The Hypoglycaemia Assessment Tool (HAT) study, the largest and most comprehensive of its kind, assessed self-reported hypoglycaemia and associated predictive factors in a global population of patients with insulin-treated diabetes.
Materials and methods: HAT was a non-interventional, multicentre, 6-month retrospective and 1-month prospective study of hypoglycaemic events in 24 countries using self-assessment questionnaires and patient diaries (for 28 days) in people aged ≥18 years with type 1 (T1D) or type 2 (T2D) diabetes using insulin for ≥12 months attending routine clinics. Associations between predictive factors and hypoglycaemia were examined using negative binomial regression models adjusted for period and country.
Results: 27,585 patients completed the study (Table 1). 83.4% of patients with T1D and 50.8% of patients with T2D experienced ≥1 hypoglycaemic event in the 4 weeks before baseline (51.5 and 16.5 events per patient year). Higher (p < 0.001) incidence rates were reported in the 4 weeks after baseline (73.3 [T1D] and 19.3 [T2D] events per patient year). A greater percentage of patients with T1D vs. T2D reported any (83.0 vs. 46.5%), nocturnal (40.6 vs. 15.9%) or severe (14.4 vs. 8.9) hypoglycaemia in the prospective period.
Conclusion: In this large, multinational population of patients (insulin-treated) with T1D or T2D, rates of overall, nocturnal and severe hypoglycaemia were higher than previously published. An increased incidence of overall hypoglycaemia in the prospective study indicated significant under-reporting of hypoglycaemia.
There is evidence that survey interviewers may be tempted to manipulate answers to filter questions in a way that minimizes the number of follow-up questions. This becomes relevant when ego-centered network data are collected. The reported network size has a huge impact on interview duration if multiple questions on each alter are triggered. We analyze interviewer effects on a network-size question in the mixed-mode survey 'Panel Study 'Labour Market and Social Security'' (PASS), where interviewers could skip up to 15 follow-up questions by generating small networks. Applying multilevel models, we find almost no interviewer effects in CATI mode, where interviewers are paid by the hour and frequently supervised. In CAPI, however, where interviewers are paid by case and no close supervision is possible, we find strong interviewer effects on network size. As the area-specific network size is known from telephone mode, where allocation to interviewers is random, interviewer and area effects can be separated. Furthermore, a difference-in-difference analysis reveals the negative effect of introducing the follow-up questions in Wave 3 on CAPI network size. Attempting to explain interviewer effects we neither find significant main effects of experience within a wave, nor significantly different slopes between interviewers.