A new class of measurement-error models,with applications to dietary data

Measurement-error modelling occurs when one cannot observe a covariate, but instead has possibly replicated surrogate versions of this covariate measured with error. The vast majority of the literature in measurement-error modelling assumes (typically with good reason) that given the value of the true but unobserved (latent) covariate, the replicated surrogates are unbiased for latent covariate and conditionally independent. In the area of nutritional epidemiology, there is some evidence from biomarker studies that this simple conditional independence model may break down due to two causes: (a) systematic biases depending on a person's body mass index, and (b) an additional random component of bias, so that the error structure is the same as a one-way random-effects model. We investigate this problem in the context of (1) estimating distribution of usual nutrient intake, (2) estimating the correlation between a nutrient instrument and usual nutrient intake, and (3) estimating the true relative risk from an estimated relative risk using the error-prone covariate. While systematic bias due to body mass index appears to have little effect, the additional random effect in the variance structure is shown to have a potentially important effect on overall results, both on corrections for relative risk estimates and in estimating the distribution of usual nutrient intake. However, the effect of dietary measurement error on both factors is shown via examples to depend strongly on the data set being used. Indeed, one of our data sets suggests that dietary measurement error may be masking a strong risk of fat on breast cancer, while for a second data set this masking is not so clear. Until further understanding of dietary measurement is available, measurement-error corrections must be done on a study-specific basis, sensitivity analyses should be conducted, and even then results of nutritional epidemiology studies relating diet to disease risk should be interpreted cautiously.     

Through the Brick Wall,and the Glass Ceiling: Women in the Civil Service in Bangladesh

In Bangladesh the disparity between male and female representation in public administration is wide. Fewer women are employed in the civil service and they figure prominently in jobs set aside for them, while executive positions are generally occupied by men. Both systemic and subjective discrimination have created obstacles for women's access to public employment. They have to surmount enormous difficulties, first to gain entry into the civil service by thwarting social and cultural barriers and competing against well‐prepared and favoured male contestants, and then fight against a variety of odds to climb up the career ladder. Public personnel management is dominated by men whose perceptions and attitudes influence the development of personnel policies with a clear male bias. This has led to women's persistent discrimination in recruitment, placement, advancement, mobility and training. Women quotas are capriciously administered and subjective discrimination serves as a barrier in their career path. The promotion system is heavily inclined towards subjectivity and generally works against them. Most women come with high expectations and are committed to and always enthusiastic about their work and keen to advance their career, but circumstances work against them.     

Work as Total Reason for Being: Heidegger and Jünger’s Der Arbeiter 1

This article examines Heidegger’s reading of Ernst Jünger’s 1932 Der Arbeiter by making appeal not only to Heidegger’s remarks on the work (and its associated text “Die totale Mobilmachung”) scattered in various texts, but by concentrating on Heidegger’s now‐available seminar notes and marginal notes to his actual copy of the text. Heidegger held two seminars on Der Arbeiter, one shortly after its publication and one in 1938, which show his close confrontation not only with Jünger’s reading of Nietzsche, but also Heidegger’s own Nietzsche examination. The article shows how Heidegger distinguishes himself from Jünger by, on the one hand, seeing Der Arbeiter as very much a product of its time and, on the other, identifying a prescience in Nietzsche of a Europe and planetary phenomenon (globalisation) yet to come. This is accomplished in the naming of the triad of Bolshevism, fascism (Nazism), and Americanism metaphysically as the singularity of “world democracy”, and as an entirely nihilistic phenomenon. The article therefore relates the confrontation of these two thinkers with the third (Nietzsche) to issues of the demand for justice, democracy, and the will to power in contemporary economic and political developments, as well as to wider themes in Heidegger’s thought of the end (or consummation) of metaphysics, the will to power, and valuation.     

Comparing Estimates of the Effects of Air Pollution on Human Mortality Obtained Using Different Regression Methodologies

Studies using regression techniques report their results using a variety of statistics. Evaluation of the consistency of findings, such as in a metaanalysis, requires calculating the statistical estimates of the effect reported in each study in a comparable manner. In this paper, we consider multiple linear regression, multiple Poisson regression, and logistic regression estimates. We present results that are needed to calculate, on a common basis, the slope of the regression function at a specified value, the elasticity function of the regression function at a specified value, the relative risk at a specified value, and the odds ratio at a specified value. We apply these results to studies of the association of daily mortality in an area to the daily air pollution level of ozone and PM₁₀. We calculate the estimated slope of the number of deaths per billion population associated with an increase of 1 ppb of ozone level in studies of daily mortality in three urban areas. These studies, in Los Angeles, New York, and St. Louis, produced very comparable results on a common basis, especially when compared to the coefficients as reported. We also calculated the estimated elasticity function of the daily mortality and daily PM₁₀ level for eight areas and found that the elasticities varied within a factor of roughly two, much less than the variability in the coefficients as reported.     

UNDERSTANDING THE CONTEXT OF RISK PRACTICES AMONG INJECTING DRUG USERS: IMPLICATIONS FOR HEPATITIS C PREVENTION

‘Risk’ is central to recent sociological studies of health and related behaviour, particularly in discourses about HIV/AIDS and hepatitis C (HCV). While epidemiological survey predominates over qualitative investigation in HCV risk reduction, it is necessary to move beyond individual‐level characteristics to gain a fuller understanding of the social context of risk. This paper investigates the context of HCV‐related risk behaviour among injecting drug users (IDUs) and discusses the behavioural and social determinants of risk practices. Data from 336 IDUs completing a self‐administered questionnaire were analysed. The data show that needle‐sharing practices are often integral to long‐standing relationships, particularly sexual ones. The level of drug dependency, trust relationships between partners and misconceptions about HCV transmission have been demonstrated to be associated with risk behaviour. Logistic factors, such as poor access to injecting equipment, limited hours of operation, and fear of police were given as barriers to safer injecting. Given the progression of the HCV epidemic, prevention campaigns should aim at risk reduction rather than risk elimination.     

Individual vs. household determinants of the demand for medical care: A study of rural families

This article investigates, from a household perspective, the demand for medical care. Earlier (economic) studies have typically focused on individual utilization patterns; however, the data set employed here allows for an investigation of the role of other family members on individual demand. The theoretical results suggest that the labor force status (via the wage rate) of one family member may, in addition to influencing that person's rate of medical care use, effect the utilization of other household members. Separate physician visit demand equations are estimated for husbands, wives, and the household unit. The empirical results indicate that the wife's (full) cost of receiving medical care is a significant determinant of utilization by both the husband and other family members. Overall, the findings suggest that demand studies should take the presence of other household members and family structure into consideration when analyzing the determinants of individual medical care utilization.This study was supported in part by grant no. 1R03 HSO 2417-01 from the National Center for Health Services Research, HHS.Laurence Miners received his Ph.D. in economics from the University of North Carolina at Chapel Hill. He is currently an Associate Professor at Fairfield University and his research interests are focused mainly in the areas of health and labor economics. Correspondence concerning this article should be addressed to Laurence Miners, Department of Economics, Fairfield University, Fairfield, CT 06430.