Child Protection and Radiography: Clinical and Technical Issues

The role of the radiographer in child protection has received little attention. This review considers issues which arise in this field, highlighting the implications for those responsible for the management of child protection systems, for those responsible for training, and for staff in other specialisms and professions within the hospital. The different types of imaging technique are discussed with some comment on their advantages and disadvantages. Forced immobilisation is sometimes required, and consideration is given to the issues which arise for the radiographer and abused child in this process. The article reviews the knowledge needed by radiographers of the clinical and radiological manifestations of abuse. It is noted that there are additional social and emotional issues which are discussed in a further paper. © 1997 John Wiley & Sons, Ltd.     

Testing and Estimating Shape-Constrained Nonparametric Density and Regression in the Presence of Measurement Error

In many applications we can expect that, or are interested to know if, a density function or a regression curve satisfies some specific shape constraints. For example, when the explanatory variable, X, represents the value taken by a treatment or dosage, the conditional mean of the response, Y , is often anticipated to be a monotone function of X. Indeed, if this regression mean is not monotone (in the appropriate direction) then the medical or commercial value of the treatment is likely to be significantly curtailed, at least for values of X that lie beyond the point at which monotonicity fails. In the case of a density, common shape constraints include log-concavity and unimodality. If we can correctly guess the shape of a curve, then nonparametric estimators can be improved by taking this information into account. Addressing such problems requires a method for testing the hypothesis that the curve of interest satisfies a shape constraint, and, if the conclusion of the test is positive, a technique for estimating the curve subject to the constraint. Nonparametric methodology for solving these problems already exists, but only in cases where the covariates are observed precisely. However in many problems, data can only be observed with measurement errors, and the methods employed in the error-free case typically do not carry over to this error context. In this paper we develop a novel approach to hypothesis testing and function estimation under shape constraints, which is valid in the context of measurement errors. Our method is based on tilting an estimator of the density or the regression mean until it satisfies the shape constraint, and we take as our test statistic the distance through which it is tilted. Bootstrap methods are used to calibrate the test. The constrained curve estimators that we develop are also based on tilting, and in that context our work has points of contact with methodology in the error-free case.     

Permutational Multiple Testing Adjustments With Multivariate Multiple Group Data

We consider the multiple comparison problem where multiple outcomes are each compared among several different collections of groups in a multiple group setting. In this case there are several different types of hypotheses, with each specifying equality of the distributions of a single outcome over a different collection of groups. Each type of hypothesis requires a different permutational approach. We show that under a certain multivariate condition it is possible to use closure over all hypotheses, although intersection hypotheses are tested using Boole's inequality in conjunction with permutation distributions in some cases. Shortcut tests are then found so that the resulting testing procedure is easily performed. The error rate and power of the new method is compared to existing competitors through simulation of correlated data. An example is analyzed, consisting of multiple adverse events in a clinical trial.     

Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies

In a study comparing the effects of two treatments, the propensity score is the probability of assignment to one treatment conditional on a subject's measured baseline covariates. Propensity-score matching is increasingly being used to estimate the effects of exposures using observational data. In the most common implementation of propensity-score matching, pairs of treated and untreated subjects are formed whose propensity scores differ by at most a pre-specified amount (the caliper width). There has been a little research into the optimal caliper width. We conducted an extensive series of Monte Carlo simulations to determine the optimal caliper width for estimating differences in means (for continuous outcomes) and risk differences (for binary outcomes). When estimating differences in means or risk differences, we recommend that researchers match on the logit of the propensity score using calipers of width equal to 0.2 of the standard deviation of the logit of the propensity score. When at least some of the covariates were continuous, then either this value, or one close to it, minimized the mean square error of the resultant estimated treatment effect. It also eliminated at least 98% of the bias in the crude estimator, and it resulted in confidence intervals with approximately the correct coverage rates. Furthermore, the empirical type I error rate was approximately correct. When all of the covariates were binary, then the choice of caliper width had a much smaller impact on the performance of estimation of risk differences and differences in means.     

Linear Regression Limit Theory for Nonstationary Panel Data

This paper develops a regression limit theory for nonstationary panel data with large numbers of cross section (n) and time series (T) observations. The limit theory allows for both sequential limits, wherein T→∞ followed by n→∞, and joint limits where T, n→∞ simultaneously; and the relationship between these multidimensional limits is explored. The panel structures considered allow for no time series cointegration, heterogeneous cointegration, homogeneous cointegration, and near-homogeneous cointegration. The paper explores the existence of long-run average relations between integrated panel vectors when there is no individual time series cointegration and when there is heterogeneous cointegration. These relations are parameterized in terms of the matrix regression coefficient of the long-run average covariance matrix. In the case of homogeneous and near homogeneous cointegrating panels, a panel fully modified regression estimator is developed and studied. The limit theory enables us to test hypotheses about the long run average parameters both within and between subgroups of the full population.     

Modular Network Design: Using Information and Communication Technology to Allocate Production Tasks in a Virtual Organization*

The increased interest in customer service and the trend towards customization gives rise to new organizational forms such as the virtual organization. This paper introduces the Modular Network Design (MND) approach to complement Mowshowitz' (1997) theory of virtual organization. This theory focuses on metamanagement of the virtual organization and consists of four activities: (1) determine and analyze customer requirements, (2) track the possibilities for satisfying these requirements, (3) develop and allocate production tasks among the members of the virtual organization, and (4) assess and adjust tasks and allocation procedures. The MND approach elaborates on this theory by breaking down both the requirements and the production tasks into modular entities, and by measuring the performance of the resulting virtual network in terms of operating costs and throughput time. The major contribution of the MND approach lies in its ability to support the assessment of alternative allocations of production tasks among the members of a virtual organization, using Information and Communication Technology (ICT) as enabler. The assessment of such alternative designs is illustrated by an application of MND in the air cargo industry. The results show how the virtual organization and its members can realize significant improvements in operating costs and throughput times when applying ICT to link and reallocate their modular production tasks in response to customized orders.     

Perceptions of Financial Well-Being among American Women in Diverse Families

This study investigated the financial well-being of American women using data from a nationwide web survey of 368 women between the ages of 30 and 65 with household incomes of at least $40,000. Specifically, we examined perceptions of financial well-being among women with and without children who lived in different family forms including marriage, cohabitation, stepfamilies, as well as women who were single. The majority of women reported they had conservative buying behaviors, desired financial independence, had a somewhat negative view of their current financial situation, had worries about retirement and their financial futures, and considered long-term care insurance a necessity. Women in nontraditional families (single mothers, cohabitors, and stepfamilies) had significantly greater worries about their financial futures than women in first marriages. Single mothers were less likely to say that they had their financial house in order and were more likely to express concern that their money would not last through retirement. Cohabiting women were significantly more likely to express fears about becoming a burden. All three groups were more likely than women in first marriages to agree that long-term care insurance is a necessity. Women who were older, were more educated, had higher income, and who contributed more money to the household income had more positive perceptions of their financial situation.     

Media and the Israeli disability rights legislation: progress or mixed and contradictory images?

This article reviews and analyzes disability rights conceptualization and policy as reflected in the Israeli media after the enactment of the Equal Rights for Persons with Disabilities Law of 1998. Media coverage is examined through review of studies conducted on the subject in Israel. A comprehensive review of the research literature reveals a discrepancy between the purposes of anti‐discrimination legislation and policy and media reflections of disability, in which portrayal is primarily via a deviance lens. The discussion is based on the analysis of universal genesis of negative perceptions of disability, as well as on particularized culture bound meaning of disability within the Israeli symbolic framework.     

Political power beyond the State: problematics of government

This paper sets out an approach to the analysis of political power in terms of problematics of government. It argues against an overvaluation of the 'problem of the State' in political debate and social theory. A number of conceptual tools are suggested for the analysis of the many and varied alliances between political and other authorities that seek to govern economic activity, social life and individual conduct. Modern political rationalities and governmental technologies are shown to be intrinsically linked to developments in knowledge and to the powers of expertise. The characteristics of liberal problematics of government are investigated, and it is argued that they are dependent upon technologies for 'governing at a distance', seeking to create locales, entities and persons able to operate a regulated autonomy. The analysis is exemplified through an investigation of welfarism as a mode of 'social' government. The paper concludes with a brief consideration of neo-liberalism which demonstrates that the analytical language structured by the philosophical opposition of state and civil society is unable to comprehend contemporary transformations in modes of exercise of political power. ¹