A Bayesian dose‐finding design for drug combination clinical trials based on the logistic model

In early phase dose‐finding cancer studies, the objective is to determine the maximum tolerated dose, defined as the highest dose with an acceptable dose‐limiting toxicity rate. Finding this dose for drug‐combination trials is complicated because of drug–drug interactions, and many trial designs have been proposed to address this issue. These designs rely on complicated statistical models that typically are not familiar to clinicians, and are rarely used in practice. The aim of this paper is to propose a Bayesian dose‐finding design for drug combination trials based on standard logistic regression. Under the proposed design, we continuously update the posterior estimates of the model parameters to make the decisions of dose assignment and early stopping. Simulation studies show that the proposed design is competitive and outperforms some existing designs. We also extend our design to handle delayed toxicities. Copyright © 2014 John Wiley & Sons, Ltd.     

Middle Managers Moulding International Strategy: An Irish Start-up in Jamaican Telecoms

This is a story of how a group of middle managers moved beyond just implementing their firm’s tightly prescribed strategy for developing an international venture to the point where it could be argued that they failed to accomplish the four clear strategic objectives set by the firm’s executive management. Instead, the authors suggest, their success was in collectively orchestrating an emergent strategy¹ which provided the executive with a better, more profitable and durable embodiment of their strategic vision.Operating between the parent firm’s original strategic intent and the political and economic realities of the host country environment, their strategic influence is worthy of close examination. They can be divided into two distinctive groups—parent country nationals and host-country nationals—and the extent to which they co-operate with or obstruct each other will have a significant effect on the success of the enterprise.² The middle management in this case example, an Irish company launching a mobile telecommunications network in Jamaica, is drawn from both groups. This article investigates the apparent autonomy from executive control afforded these particular middle managers to identify the contingent factors that appear to allow, or constrain, their positive transmutation of the original strategic objectives. The key questions addressed are first, how the two groups, both individually and collectively, played out their roles in shifting strategy, and second, once these contextual dynamics have been identified, how other executive management groups can learn from this Irish/Jamaican experience considering similar international ventures. The authors’ response highlights those elements of strategy design, organisational structure and human resource management that they believe are critical in maximising the strategic contribution of middle managers to international ventures, and hence providing a better chance of success.     

Husbands’ and wives’ characteristics and fertility decisions: A diagonal mobility model

In this article a diagonal mobility model is used to describe the relative effects of husbands' and wives' characteristics on fertility. Compared with the characteristics of their wives, the characteristics of non-Hispanic husbands are nearly insignificant in their effect on fertility. The relative importance of husbands' attributes is much greater among Mexican-American couples. Although this suggests ethnic stereotypes about male dominance in Mexican-American families, differences in female educational attainment may offer a better explanation. The most immediate conclusion from this analysis pertains to the use of wives' characteristics as a proxy for couple data. This strategy is reasonable if female educational levels generally extend into high school. Relying on wives' characteristics to study marital fertility, however, may be problematic if the analysis involves respondents with a wide range of educational levels.     

Dependence within families and the division of labor: Comparing Sweden and the United States

This article assesses the relative explanatory value of the resource‐bargaining perspective and the doing‐gender approach for the division of housework in the United States and Sweden from the mid‐1970s to 2000. The data used are the Panel Study of Income Dynamics (PSID) and the Swedish Level of Living Survey. Overall results show that housework was truly gendered work in both countries during the entire period. Even so, the results indicate that, unlike Swedish women, U.S. women seem to increase their time spent in housework when their husbands are to some extent economically dependent on them, as if to neutralize the presumed gender deviance on the part of their spouses.     

Entre innovation et conservation: la Nouvelle Broderie commerciale maya*

This article undertakes a discourse analysis of sponsoring agencies of the Nuevo Bordado Maya Comercial. In the name of the rehabilitation of cultures that have faced discrimination and of the respect of Indigenous women's rights, these agencies act on the frontiers between the local and the global, between the public and private, between ethnicities and between genders. An examination of such terms as sustainable development, empowerment, Maya woman, and Mayan culture and worldview reveals the co‐existence of contradictory ideologies (that are not devoid of essentialism) in relation to development, women and the construction of a transnational, pan‐Mayan identity.     

Gendered Constructions of Leadership in Danish Job Advertisements

The purpose of this article is to consider the gender imbalance at top management level from a discourse analytical perspective. More specifically, it investigates the language of 39 Danish top executive job advertisements and considers which leadership identities are projected as desirable or necessary. This is done by carrying out two interlinked studies: a semantic field analysis of the sections in the job advertisements describing the leadership traits of the ideal candidate (Study 1) and a study of MBA students' responses to extracts from the advertisements as far as gender is concerned (Study 2). Semantic field analysis reveals that all the job advertisements are gender‐biased and that most traits described in the advertisements are associated with traditional or stereotypical masculine attributes. Study 2 confirms this finding, as respondents (MBA students) assign a masculine identity to the vast majority of the extracts from the job advertisements.     

Information measures and design issues in the study of mortality deceleration: findings for the gamma-Gompertz model

Lifetime Data Analysis - Mortality deceleration, or the slowing down of death rates at old ages, has been repeatedly investigated, but empirical studies of this phenomenon have produced mixed...     

Development and Application of a Probabilistic Risk–Benefit Assessment Model for Infant Feeding Integrating Microbiological,Nutritional, and Chemical Components

A probabilistic and interdisciplinary risk–benefit assessment (RBA) model integrating microbiological, nutritional, and chemical components was developed for infant milk, with the objective of predicting the health impact of different scenarios of consumption. Infant feeding is a particular concern of interest in RBA as breast milk and powder infant formula have both been associated with risks and benefits related to chemicals, bacteria, and nutrients, hence the model considers these three facets. Cronobacter sakazakii, dioxin‐like polychlorinated biphenyls (dl‐PCB), and docosahexaenoic acid (DHA) were three risk/benefit factors selected as key issues in microbiology, chemistry, and nutrition, respectively. The present model was probabilistic with variability and uncertainty separated using a second‐order Monte Carlo simulation process. In this study, advantages and limitations of undertaking probabilistic and interdisciplinary RBA are discussed. In particular, the probabilistic technique was found to be powerful in dealing with missing data and to translate assumptions into quantitative inputs while taking uncertainty into account. In addition, separation of variability and uncertainty strengthened the interpretation of the model outputs by enabling better consideration and distinction of natural heterogeneity from lack of knowledge. Interdisciplinary RBA is necessary to give more structured conclusions and avoid contradictory messages to policymakers and also to consumers, leading to more decisive food recommendations. This assessment provides a conceptual development of the RBA methodology and is a robust basis on which to build upon.