Conflicting strategic objectives in hospital design

This paper presents a multigoal linear programming model designed to analyse the impact of different strategic objectives in the planning of hospitals. The paper argues that it is necessary to adopt an overall point-of-view in planning; that it is necessary to consider the interactions between the hospital, other social and health institutions and the community at large in order to attain an efficient plan. A simplified cost-benefit analysis is suggested, and it is demonstrated that the opportunity costs of lost working days may be more important than both capital and operating costs from a social point of view.     

On dynamic stochastic approximation

The behaviour of the dynamic stochastic approximation algorithm suggested by DUPA[Cbreve] [4, 5] is examined under various conditions. Essentially, convergence in q.m. is proved and the rate of convergence is obtained for three classes of regression functions. Necessary and sufficient conditions are established for the convergence in q.m. of the algorithm in terms of the algorithm parameters for the stationary (nondynamic) case.     

Upgrading change management

Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO) - Claus Otto Scharmer is a Senior Lecturer at Massachusetts Institute of Technology (MIT)...     

Controlling type 1 error rate for sequential,bioequivalence studies with crossover designs

Sample size reestimation in a crossover, bioequivalence study can be a useful adaptive design tool, particularly when the intrasubject variability of the drug formulation under investigation is not well understood. When sample size reestimation is done based on an interim estimate of the intrasubject variability and bioequivalence is tested using the pooled estimate of intrasubject variability, type 1 error inflation will occur. Type 1 error inflation is caused by the pooled estimate being a biased estimator of the intrasubject variability. The type 1 error inflation and bias of the pooled estimator of variability are well characterized in the setting of a two‐arm, parallel study. The purpose of this work is to extend this characterization to the setting of a crossover, bioequivalence study with sample size reestimation and to propose an estimator of the intrasubject variability that will prevent type 1 error inflation.     

Varieties of liberalism: A comparative analysis of family policy and poverty outcomes across the 50 United States

The United States is generally recognised as an exemplar of liberal policy regime types. However, given evidence of state-level divergence in social policy, this article investigates to what extent such variation is present and relevant in state-level family policy. To this end, we pose a primary and secondary research question. Our primary question is whether varieties of liberalism exist across the 50 states in the United States. Our secondary question is whether these varieties of liberalism correspond to variety in social indicators of families' economic well-being. To answer our primary question, we first construct a family policy index that scores the relative generosity and coverage of state-administered social programmes that contribute to the (de)commodification and (de)familialisation of households with children. We then perform a cluster analysis to group states by shared decommodifying and defamilialising features. To answer our secondary question, we investigate how our family-policy clusters are associated with social indicators of families' financial security. Our findings suggest that varieties of liberalism do, indeed, exist within the United States. With the exception of Vermont, which stands out with respect to its comparatively generous family policies, we classify states into two groups: those with ‘soft’ liberal family policy in states featuring relatively generous and accessible policies and ‘hard’ liberal family policy in states achieving little of either. We find that these differences help explain state-level heterogeneity in levels of economic security among households with children, particularly single-mother households.     

ADHD and Brain Anatomy: What Do Academic Textbooks Used in the Netherlands Tell Students?

Studies of brain size of children classified with ADHD appear to reveal smaller brains when compared to ‘normal’ children. Yet, what does this mean? Even with the use of rigorously screened case and control groups, these studies show only small, average group differences between children with and without an ADHD classification. However, academic textbooks used in the Netherlands often portray individual children with an ADHD classification as having a different, malfunctioning brain that necessitates medical intervention. This conceptualisation of ADHD might serve professional interests, but not necessarily the interests of children.     

Estimation of Several Intraclass Correlation Coefficients

An intraclass correlation coefficient observed in several populations is estimated. The basis is a variance-stabilizing transformation. It is shown that the intraclass correlation coefficient from any elliptical distribution should be transformed in the same way. Four estimators are compared. An estimator where the components in a vector consisting of the transformed intraclass correlation coefficients are estimated separately, an estimator based on a weighted average of these components, a pretest estimator where the equality of the components is tested and then the outcome of the test is used in the estimation procedure, and a James-Stein estimator which shrinks toward the mean.