Efficient estimators with categorical ranked set samples: estimation procedures for osteoporosis

Ranked set sampling (RSS) design as a cost-effective sampling is a powerful tool in situations where measuring the variable of interest is costly and time-consuming; however, ranking information about sampling units can be obtained easily through inexpensive and easy to measure characteristics at little or no cost. In this paper, we study RSS data for analysis of an ordinal population. First, we compare the problem of non-representative extreme samples under RSS and commonly-used simple random sampling. Using RSS data with tie information, we propose non-parametric and maximum likelihood estimators for population parameters. Through extensive numerical studies, we investigate the effect of various factors including ranking ability, tie generating mechanisms, the number of categories and population setting on the performance of the estimators. Finally, we apply the proposed methods to the bone disorder data to estimate the proportions of patients with osteopenia and osteoporosis status.     

Information content of partially rank-ordered set samples

Partially rank-ordered set (PROS) sampling is a generalization of ranked set sampling in which rankers are not required to fully rank the sampling units in each set, hence having more flexibility to perform the necessary judgemental ranking process. The PROS sampling has a wide range of applications in different fields ranging from environmental and ecological studies to medical research and it has been shown to be superior over ranked set sampling and simple random sampling for estimating the population mean. We study Fisher information content and uncertainty structure of the PROS samples and compare them with those of simple random sample (SRS) and ranked set sample (RSS) counterparts of the same size from the underlying population. We study uncertainty structure in terms of the Shannon entropy, Rényi entropy and Kullback–Leibler (KL) discrimination measures.     

Corporate Planning and Control in German industry

This article records some important results of an extensive empirical investigation in GFR. In so doing the structure and the stage of development of Corporate Planning and Control Systems in 355 industrial companies were analyzed—in addition other systems were investigated. Within the context of the planning and Control Systems, the multi-echelon organization of the system, the time scale and the differentiation of the plans as regards content, co-ordinated planning between various management levels (multi-echelon co-ordination) as well as the harmonization, adaptation and formalization of the plans and the planning, were investigated. Furthermore the content of the planning— for example, objectives, programmes, resources, and budgets—, the various sectional plans of the company, the organizational units, information as well as the interrelationship between the different management levels as regards information and the instruments for planning and control, were surveyed. In relation to the other systems, the organization, information, and management development systems as well as the general management system were analyzed.Within the context of the empirical investigation the structure and developmental stage of Planning and Control Systems in 355 industrial companies in the GFR were analyzed. As the basis for the empirical study a technological concept for Planning and Control Systems was worked out, which is based on a comprehensive planning and control theory.     

The normative basis of (health) technology assessment and the role of ethical expertise

The role of normative reflection and the possibilities of ethical inquiry in technology assessment have been under discussion in the TA community for several years. As an outcome of this discussion the necessity of explicitly dealing with normativity in TA has widely been acknowledged. However, it is still quite unclear in which way this should be done. This paper is dedicated to the role (and limitations) of ethical expertise in this field, especially in HTA. By methodological analysis an approach is developed to show how entry points for ethical expertise could be identified. The result is that ethical expertise can inform moral debates by uncovering underlying assumptions, by making the normative structure of argumentation transparent, and by weighing the strength of the arguments. In this way moral debates in HTA can become more transparent and opened to argumentative reasoning instead of consisting of bargaining processes determined by power distributions. Ethical reflection, however, does not replace decision-making.     

Legitimate decisions leading towards sustainable development – problems and challenges

In discussing the operationalization of sustainability as a concept two tendencies can, at present, be observed: the dependence of sustainability maxims on their presumed or actual acceptance and their relationship to integrative modeling based on empirical research. In contrast, this contribution is based on the assumption that the problems of implementing sustainability are (at least or also) caused by divergent normative conceptions in society and by the problems of legitimization that arise out of them. Coping with these conflicts requires explicit normative reflection and the appropriate decision-making procedures, which can, in fact, be supported and advised – but not replaced – by empirical research.     

Email-Debatte: „Lehrprofessuren“ und „Lehrkräfte für besondere Aufgaben“

For a few years now German universities have the opportunity to employ teaching professors and lecturers with fixed-term work contracts. Trutz von Trotha, Armin Nassehi and Jo Reichertz discuss the implications that this development may have for university employment structures as well as for the future of research and teachings.     

The use of external controls: To what extent can it currently be recommended?

With more and better clinical data being captured outside of clinical studies and greater data sharing of clinical studies, external controls may become a more attractive alternative to randomized clinical trials (RCTs). Both industry and regulators recognize that in situations where a randomized study cannot be performed, external controls can provide the needed contextualization to allow a better interpretation of studies without a randomized control. It is also agreed that external controls will not fully replace RCTs as the gold standard for formal proof of efficacy in drug development and the yardstick of clinical research. However, it remains unclear in which situations conclusions about efficacy and a positive benefit/risk can reliably be based on the use of an external control. This paper will provide an overview on types of external control, their applications and the different sources of bias their use may incur, and discuss potential mitigation steps. It will also give recommendations on how the use of external controls can be justified.     

A slack analysis framework for improving composite indicators with applications to human development and sustainable energy indices

Data envelopment analysis models are used for measuring composite indicators in various areas. Although there are many models for measuring composite indicators in the literature, surprisingly, there is no methodology that clearly shows how composite indicators improvement could be performed. This article proposes a slack analysis framework for improving the composite indicator of inefficient entities. For doing so, two dual problems originated from two data envelopment analysis models in the literature are proposed, which can guide decision makers on how to adjust the subindicators of inefficient entities to improve their composite indicators through identifying which subindicators must be improved and how much they should be augmented. The proposed methodology for improving composite indicators is inspired from data envelopment analysis and slack analysis approaches. Applicability of the proposed methodology is investigated for improving two well-known composite indicators, i.e., Sustainable Energy Index and Human Development Index. The results show that 12 out of 18 economies are inefficient in the context of sustainable energy index, for which the proposed slack analysis models provide the suggested adjustments in terms of their respected subindicators. Furthermore, the proposed methodology suggests how to adjust the life expectancy, the education, and the gross domestic product (GDP) as the three socioeconomic indicators to improve the human development index of 24 countries which are identified as inefficient entities among 27 countries.     

INDIVIDUAL RISK ATTITUDES: MEASUREMENT,DETERMINANTS, AND BEHAVIORAL CONSEQUENCES

This paper studies risk attitudes using a large representative survey and a complementary experiment conducted with a representative subject pool in subjects' homes. Using a question asking people about their willingness to take risks “in general”, we find that gender, age, height, and parental background have an economically significant impact on willingness to take risks. The experiment confirms the behavioral validity of this measure, using paid lottery choices. Turning to other questions about risk attitudes in specific contexts, we find similar results on the determinants of risk attitudes, and also shed light on the deeper question of stability of risk attitudes across contexts. We conduct a horse race of the ability of different measures to explain risky behaviors such as holdings stocks, occupational choice, and smoking. The question about risk taking in general generates the best all‐round predictor of risky behavior.