The perceived quality of life in Norway: Regional variations and contextual effects

This article deals with perceived quality of life and its relationship to sociodemographic background variables in Norway. We try to answer two questions, viz (1) to what extent does the absolute level of quality of life as well as the relationships between quality of life and individual-level sociodemographic variables vary between Norwegian counties? and (2) are such variations related to specific characteristics of the various counties? Some between-county variation is found, but in most cases the pattern of variation is not replicated across surveys. For variation in the absolute level of QOL as well as in the relationship between an individual's education and QOL, however, there is a moderate degree of stability. Contextual analyses show that the relationship between education and QOL is positive and moderately strong in affluent counties, near zero or negative in economically more backward areas. The results are interpreted within the framework of a person-environment fit model.     

Medical students' and tutors' experiences of directed and self-directed learning programs in evidence-based medicine: a qualitative evaluation accompanying a randomized controlled trial

This qualitative study aims to interpret the results of a randomized controlled trial comparing two educational programs (directed learning and self-directed learning) in evidence-based medicine (EBM) for medical students at the University of Oslo from 2002 to 2003. There is currently very little comparative educational research in this field. In the trial, no statistically significant differences between the study groups were shown for any outcomes considered (EBM knowledge, skills, and attitudes). Further analysis suggests that main reason for the negative trial results was that the majority of students learned equally effectively, whichever program they received, although implementation of the educational programs was not complete because of varying attendance. This study illustrates a stepwise evaluation model that might be useful in evaluating other socially complex interventions.     

The Effect of a Family Policy Reform on Mother’s Pay: A Natural Experiment Approach

All parents in Norway with children aged one to three, who do not attend publicly subsidised day care, are entitled to a cash-for-care (CFC) subsidy. Studies have shown that the reform has reduced mothers labour supply. In this paper we analyse wage effects of the reform. We put forward a framework for evaluating reforms when reforms are uniformly and equally accessible nation-wide. First, running a simple Difference in differences (DD) analysis, results suggest that the CFC reform has reduced the mothers wages. However, after controlling for the age of the child effect, by running a triple difference approach, we no longer find any evidence of negative wage effects.This revised version was published online in May 2005 with corrections to the authors name and to the heading of table A2.     

On value-judgements and ethics in health technology assessment

The widespread application of technology in health care has imposed a broad range of challenges. The field of health technology assessment (HTA) is developed in order to face some of these challenges. However, this strategy has not been as successful as one could hope. One of the reasons for this is that social and ethical considerations have not been integrated in the HTA process. Nowadays however, such considerations have been included in many HTAs. Still, the conclusions and recommendations of the HTAs are not followed. The reason for this may be that the methods for integrating ethics for HTA are not sufficiently developed, or that they are not adequate. This article presents a supplementary approach to the ethical inquiry in HTA. It is argued that a value analysis is crucial in order to address the ethical issues of health care technology in a fruitful way and to make viable decisions about such technology.

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.     

Bernoulli Processes with Non-Positive Correlations

We deal with sequences of dependent Bernoulli variables with non positive correlations. Some special models for 1-dependent and 2-dependent 0–1 valued variables are analyzed, namely Bernoulli variables obtained by clipping a linear combination of iid variables. Formulas describing dependence of their correlation function on the clipping parameters are derived. The lower bound for the sum of autocorrelations of Bernoulli variables obtained by clipping a Gaussian process is provided.     

The sample monomode and an associated test for discrete monomodality

Abstract

The notions of (sample) mean, median and mode are common tools for describing the central tendency of a given probability distribution. In this article, we propose a new measure of central tendency, the sample monomode, which is related to the notion of sample mode. We also illustrate the computation of the sample monomode and propose a statistical test for discrete monomodality based on the likelihood ratio statistic.     

Iterative bias reduction: a comparative study

Multivariate nonparametric smoothers, such as kernel based smoothers and thin plate splines smoothers, are adversely impacted by the sparseness of data in high dimension, also known as the curse of dimensionality. Adaptive smoothers, that can exploit the underlying smoothness of the regression function, may partially mitigate this effect. This paper presents a comparative simulation study of a novel adaptive smoother (IBR) with competing multivariate smoothers available as package or function within the R language and environment for statistical computing. Comparison between the methods are made on simulated datasets of moderate size, from 50 to 200 observations, with two, five or 10 potential explanatory variables, and on a real dataset. The results show that the good asymptotic properties of IBR are complemented by a very good behavior on moderate sized datasets, results which are similar to those obtained with Duchon low rank splines.