Efficacy of group therapy for problems with postmastectomy self‐perception,body image,and sexuality

Until very recently, the sexual and body image problems of women treated for breast cancer by surgical removal of the breast were ignored by physicians and therapists. Postmastectomy women (N = 62) and non‐mastectomy women (N = 51) were compared on self‐image and sexuality, positive affect, autonomy, self‐sacrifice, and body touching. Additionally, mastectomees were tested three times over 12 months to evaluate the efficacy of group therapy for postmastectomy women. Prior to group therapy, baseline data indicated that, compared to nonmastec‐tomy women, mastectomees had a significantly different body image and lower sexual adjustment. Specifically there was marked dislike for the amputated breast region and diminished pleasure in self‐touching of the remaining breast. Positive affect and sexual receptivity for both the mastectomee and her partner were perceived to be adversely affected. These effects were not related to age, marital status, or elapsed time since mastectomy. Treatment significantly improved positive affect and sexual adjustment but did not improve attitude toward the amputated breast region or increase the range or frequency of sexual activity and sexual receptivity.     

Model Averaging Using Fractional Polynomials to Estimate a Safe Level of Exposure

Quantitative risk assessment involves the determination of a safe level of exposure. Recent techniques use the estimated dose-response curve to estimate such a safe dose level. Although such methods have attractive features, a low-dose extrapolation is highly dependent on the model choice. Fractional polynomials, basically being a set of (generalized) linear models, are a nice extension of classical polynomials, providing the necessary flexibility to estimate the dose-response curve. Typically, one selects the best-fitting model in this set of polynomials and proceeds as if no model selection were carried out. We show that model averaging using a set of fractional polynomials reduces bias and has better precision in estimating a safe level of exposure (say, the benchmark dose), as compared to an estimator from the selected best model. To estimate a lower limit of this benchmark dose, an approximation of the variance of the model-averaged estimator, as proposed by Burnham and Anderson, can be used. However, this is a conservative method, often resulting in unrealistically low safe doses. Therefore, a bootstrap-based method to more accurately estimate the variance of the model averaged parameter is proposed.     

Ungleichheit und Vorurteil

The authors take a look at how established sociological research in Germany deals with two distinct subjects: migrants in the German school system and New Fascists. The article highlights surprising, contrary feeling rules social scientists active in these two research areas develop regarding their objects of investigation. As it turns out in both cases social disintegration serves as an explanatory research frame. But feeling rules derived from this frame point in opposite directions. New Fascists are cast in the roles of victims of social change and institutional failure, thus calling for empathy and/or sympathy as the feeling to be directed towards them. Migrants, in contrast, are blamed for their situation, which invokes indifference and antipathy as a feeling rule. Comparing both research areas reveals how they connect to each other. Together they establish a dichotomous emotional regime which traces the lines of simultaneous inclusion in and exclusion from the German society.     

Socioeconomic and Gender Health Disparities in Diabetes: The Lower Middle Income Case of Ghana

While literature theorizing the relationship between socioeconomic status (SES), gender, and health outcomes is robust in high‐income countries, there is less scholarship examining how SES affects men and women in lower middle income countries (LMICs). Focusing on the LMIC case of Ghana, I use Wave 1 of the World Health Organization Study on Global Aging and Adult Health (SAGE) to examine the relationship between SES and diabetes among Ghanaian women and men. Specifically, I examine how key SES measures such as educational attainment, employment status, and income singly and collectively predict the odds of diabetes for Ghanaian men and women. I also examine the explanatory value of the reversal hypothesis, which posits that those of high SES experience higher rates of non‐communicable diseases. Overall, I find that while Ghanaian men experience increased odds of diabetes with increased education, Ghanaian women have higher odds of diabetes compared to men regardless of educational attainment. Understanding health patterns in LMICs like Ghana is important for sociological inquiry on health disparities seeking to incorporate more global perspectives.     

Sensuality as Subversion: Doing Masculinity with Chinese Australian Professionals

Within western gender structures, dominant discourses of Asian men as weak, feminized and asexual continue to render Asian masculinities subordinate to white hegemonic ideals. Although research of gender in organization studies has revealed important insights into how gender might be redone or undone, non‐white voices remain marginalized in this critical project. This article explores through in‐depth interviews the ways by which Chinese cis‐male professionals in Australia attempt to coopt desexualizing discourses and ‘do’ masculinity through sensuality. Specifically, the findings show how their sensuality is practised across various dimensions at work and beyond, including via the presentation of the self, relationships with others and representations in social texts. In presenting the voices of Asian men, this article seeks to illuminate their individual and collective pursuits for decolonization, agency and pleasure.     

BORN FREE to Integrated Life Planning: Advancing Equity in Career Development

BORN FREE and Integrated Life Planning (ILP) are two efforts that have advanced equity within career development. This article reviews the concepts of BORN FREE and ILP, connecting both efforts to current visions of social justice.     

Letters to the Editor

Letters to the editor will be confined to discussions of papers that have appeared in The American Statistician and of important issues facing the statistical community. Letters discussing papers in The American Statistician must be received within two months of publication of the paper; the author of the paper will then be given an opportunity to reply, and the letters and reply will be published together. All letters to the editor will be refereed. Corrections of errors that have been noted in papers published in The American Statistician will be listed as corrections at the end of this section.     

Runtime and memory consumption analyses for machine learning R programs

R is a multi-paradigm language with a dynamic type system, different object systems and functional characteristics. These characteristics support the development of statistical algorithms at a high level of abstraction. Although R is commonly used in the statistics domain a big disadvantage are its runtime problems when handling computation-intensive algorithms. Especially in the domain of machine learning the execution of pure R programs is often unacceptably slow. Our long-term goal is to resolve these issues and in this contribution we used the traceR tool to analyse the bottlenecks arising in this domain. Here we measured the runtime and overall memory consumption on a well-defined set of classical machine learning applications and gained detailed insights into the performance issues of these programs.