Diagnosis Murder: The Death of State Death Taxes

Since 1976, more than 30 states have eliminated their "death" taxes and many others have reduced them. This unexplored case of interstate tax competition presents a unique opportunity to develop a new, more satisfying definition of competitor based on historical elderly migration patterns. Using data from 1967 onward, we outline the recent history of state death tax competitio n and present a spatial econometric analysis. Interstate tax competition is evident and grows stronger when using migration-based definitions of competitors. The article concludes with still more evidence of interstate tax competition—the recent movement by states to effectively revive their death taxes.     

Repeated‐measures models in the analysis of QT interval

Because of the recent regulatory emphasis on issues related to drug‐induced cardiac repolarization that can potentially lead to sudden death, QT interval analysis has received much attention in the clinical trial literature. The analysis of QT data is complicated by the fact that the QT interval is correlated with heart rate and other prognostic factors. Several attempts have been made in the literature to derive an optimal method for correcting the QT interval for heart rate; however the QT correction formulae obtained are not universal because of substantial variability observed across different patient populations. It is demonstrated in this paper that the widely used fixed QT correction formulae do not provide an adequate fit to QT and RR data and bias estimates of treatment effect. It is also shown that QT correction formulae derived from baseline data in clinical trials are likely to lead to Type I error rate inflation. This paper develops a QT interval analysis framework based on repeated‐measures models accomodating the correlation between QT interval and heart rate and the correlation among QT measurements collected over time. The proposed method of QT analysis controls the Type I error rate and is at least as powerful as traditional QT correction methods with respect to detecting drug‐related QT interval prolongation. Copyright © 2003 John Wiley & Sons, Ltd.     

Assessing population differentiation and isolation from single-nucleotide polymorphism data

Summary. We introduce a new, hierarchical, model for single-nucleotide polymorphism allele frequencies in a structured population, which is naturally fitted via Markov chain Monte Carlo methods. There is one parameter for each population, closely analogous to a population-specific version of Wright's F _ST , which can be interpreted as measuring how isolated the relevant population has been. Our model includes the effects of single-nucleotide polymorphism ascertainment and is motivated by population genetics considerations, explicitly in the transient setting after divergence of populations, rather than as the equilibrium of a stochastic model, as is traditionally the case. For the sizes of data set that we consider the method provides good parameter estimates and considerably outperforms estimation methods analogous to those currently used in practice. We apply the method to one new and one existing human data set, each with rather different characteristics—the first consisting of three rather close European populations; the second of four populations taken from across the globe. A novelty of our framework is that the fit of the underlying model can be assessed easily, and these results are encouraging for both data sets analysed. Our analysis suggests that Iceland is more differentiated than the other two European populations (France and Utah), a finding which is consistent with the historical record, but not obvious from comparisons of simple summary statistics.     

Disability, gender, and unemployment relationships in the United States from the behavioral risk factor surveillance system

Women with disabilities face simultaneous oppression in employment due to discrimination with regard to disability and gender. This article investigates the potential disparity in participation in employment for women, particularly women with disabilities. We analysed weighted data from disability surveillance programs and the Behavioural Risk Factor Surveillance System (BRFSS) on over 47,000 respondents. The disability BRFSS was a telephone survey in 11 states and Washington DC. Logistic regression analyses produced adjusted models of the association between gender and employment. Compared with people without disabilities, there were disparities found for people with disabilities, and women with and without disabilities, with the larger discrepancy for women without disabilities. Additional detail about level of employment is needed to make conclusive statements; however, it is clear that disparities in employment continue to exist for women, regardless of their disability status.     

Genetic counseling: Implications for social work practice

Considerable advances have been made in recent years in medical genetics. These advances have led to a better understanding of the inheritance of disease. Social workers involved in schools, child welfare, medical, and other institutional settings often work with clients who have genetically inherited disorders. Consequently, there is a growing need for social workers to increase their knowledge of genetics and genetic counseling. In this article, the authors discuss the emerging field of genetic counseling and its implications for social work practice.     

An example of ridge regression difficulties

A simple consumption function is used to illustrate two fundamental difficulties with ridge regression and similarly motivated procedures. The first is the ambiguity of multicollinearity measures for judging the data's “ill-conditioning”. The second is the sensitivity of the estimates to the arbitrary normalization of the model. Neither of these poses a problem for least squares or Bayesian estimates. The logical restructuring of ridge procedures to avoid these difficulties leads to a more explicitly Bayesian approach.     

Pain in the Act: The Meanings of Pain Among Professional Wrestlers

This paper draws upon the relational turn in the study of pain to understand and explain the ways in which professional wrestlers manage and make sense of physical suffering. The paper focuses on how pain-laden interactions in the ring and the gym give form to the ways in which participants of wrestling think and feel about pain. The research is based on a long-term ethnography of professional wrestling. The article does two things: (a) explores the bodily skills that wrestlers cultivate to handle a context of ever-present pain, and (b) explains what the wrestlers’ interactions tell us about the meanings of pain that wrestlers come to share. Based on the reconstruction of participants’ lived experience of pro wrestling, I suggest that pain becomes attractive to wrestlers because it is given substantive meaning which encompasses denial, authenticity, solidarity, and dominance.

Exposure Therapy for Problem Gambling via Videoconferencing: A Case Report

This case report of a 31 year old woman who described her main problem as an uncontrollable urge to gamble on electronic gaming machines describes the application of exposure therapy (ET) by videoconferencing and the use of a clinical therapy assistant in the treatment of pathological gambling. The case study is used to demonstrate the effectiveness of this treatment with six sessions of therapy and 4 year follow up. The use of videoconferencing is discussed in relation to treatment effectiveness, ongoing follow up for the client and education and support for a community mental health nurse, therapy assistant, in a rural setting in South Australia. The implications of using this modality for the treatment of rural patients with problem gambling is discussed.