The impact of period effects on dose level contrasts in alternating cross‐over designs for first‐time‐in‐human studies

For first‐time‐in‐human studies with small molecules alternating cross‐over designs are often employed and at study end are analyzed using linear models. We discuss the impact of including a period effect in the model on the precision with which dose level contrasts can be estimated and quantify the bias of least squares estimators if a period effect is inherent in the data that is not accounted for in the model. We also propose two alternative designs that allow a more precise estimation of dose level contrasts compared with the standard design when period effects are included in the model. Copyright © 2010 John Wiley & Sons, Ltd.     

Moving average models—time series in m-dimensions

Stochastic models for discrete time series in the time domain are well known but such models lack consideration of spatial dependency I We expand on their work by constructing spatially dependent moving average models. Definitions of order, stationarity, invertibility, autocorrelation function, and spectrum are made as natural extensions of those in zero dimensions and are implemented in the one and two-space dimensional models.     

The political economy of inequality in the “age of extremes”

Massey spresidential address correctly points to growing economic inequality as one of the pressing issues of our day, but his analysis gives short shrift to the political institutions that underlie the economic trends. We supplement his analysis with a review of some of those institutions. In particular we point out how politics mediates between computerized production and inequality, between the segregation of education and inequality, and (drawing directly from American Apartheid) between housing markets and residential segregation.     

The Use of Tracking Technologies for the Analysis of Outdoor Mobility in the Face of Dementia: First Steps into a Project and Some Illustrative Findings From Germany

As people age in place, cognitive impairment is a major threat to maintaining out-of-home mobility. The SenTra project measures outdoor mobility by taking advantage of tracking technology in an interdisciplinary project involving researchers from geography, social work, gerontology, psychology, and medicine disciplines. The project assesses mobility patterns of urban-dwelling demented and mildly cognitively impaired elders and cognitively intact persons over a period of 3 years in Israel and Germany. The main objectives are to learn more about out-of-home mobility by means of global positioning system/geographical information system technology, to analyze the relationships between cognitive functioning, mobility behavior, and well-being, to examine the ethical implications of the use of advanced tracking technologies in this population, and to assess the potential of tracking technologies in the diagnosis of various types of cognitive impairment. The article presents preliminary findings to illustrate the potential of interdisciplinary data analyses to be performed later in the project. Pilot data were drawn from a combined psychiatric, psycho-social, and tracking data assessment of a group of 19 men and women between 63 and 80 years of age (7 who were healthy, 6 who were mildly cognitive impaired, 6 who were demented) living in Germany. The findings revealed that healthy participants have better health and higher levels of well-being and smaller networks compared to elders who are cognitively impaired. Examples of daily outdoor trips indicate meaningful mobility patterns and the need to combine psycho-social and geographical data to understand the relationships between outdoor mobility, socio-structural dimensions, behavior patterns, and well-being. By achieving its aims, the project will be able to make a substantial contribution to basic, applied, and clinical knowledge gaps in the area of mobility and cognitive impairment research.     

Production/operations management—A key discipline and area for research

This paper reports the results of a stocktaking and review of research in Production/Operations Management, carried out for the Social Science Research Council. The paper describes the scope and importance of the management of production/operations. Areas of importance for future directions for research are explored and a number of issues concerned with research in the area are examined.     

Spatial variation in poverty-generating processes: Child poverty in the United States

This study builds on research demonstrating that sub-regions within the United States have different processes that abet poverty and that child poverty is spatially differentiated. We focus on the social attributes of the local area to assess what the geographic place represents in terms of social characteristics, namely racial/ethnic composition and economic structure, and to resolve apparent inconsistencies in poverty research. Using spatial regime and spatial error regression techniques to analyze county census data, we examine spatial differentiation in the relationships that generate child poverty. Our approach addresses the conceptual and technical aspects of spatial inequality. Results show that local-area processes are at play with implications for more nuanced theoretical models and anti-poverty policies that consider systematic differences in factors contributing to child poverty according to the racial/ethnic and economic contexts.     

Experience,Service Operations Strategy,and Services as Destinations: Foundations and Exploratory Investigation

This paper explores the customer experience paradigm as it pertains to service operations strategy and design. First, we operationally define and discuss the concept of customer experience. In this context, we propose a reframing of the strategic role of operations strategy as one of choreographing experience‐centric services. We then introduce the concept of services as destinations as an emerging business model for classifying experiential service strategies. Our conceptual typology of experience‐based strategies uses two dimensions: (1) the depth of use of experience as a source of value creation, ranging from brand experience to the services as a destinations business model, and (2) the degree of integration of experience internally within the firm. Using this conceptual typology, we develop five propositions and use multiple cases to illustrate firms' use of these experience strategies. Laying the groundwork for future research, we highlight insights from the qualitative, multiple‐case data as they pertain to service operations strategy and the business model that employs services as destinations. A number of questions for further research are suggested.     

On estimands and the analysis of adverse events in the presence of varying follow‐up times within the benefit assessment of therapies

The analysis of adverse events (AEs) is a key component in the assessment of a drug's safety profile. Inappropriate analysis methods may result in misleading conclusions about a therapy's safety and consequently its benefit‐risk ratio. The statistical analysis of AEs is complicated by the fact that the follow‐up times can vary between the patients included in a clinical trial. This paper takes as its focus the analysis of AE data in the presence of varying follow‐up times within the benefit assessment of therapeutic interventions. Instead of approaching this issue directly and solely from an analysis point of view, we first discuss what should be estimated in the context of safety data, leading to the concept of estimands. Although the current discussion on estimands is mainly related to efficacy evaluation, the concept is applicable to safety endpoints as well. Within the framework of estimands, we present statistical methods for analysing AEs with the focus being on the time to the occurrence of the first AE of a specific type. We give recommendations which estimators should be used for the estimands described. Furthermore, we state practical implications of the analysis of AEs in clinical trials and give an overview of examples across different indications. We also provide a review of current practices of health technology assessment (HTA) agencies with respect to the evaluation of safety data. Finally, we describe problems with meta‐analyses of AE data and sketch possible solutions.     

Construction and Initial Validation of the Career Maximizing Scale

Applying the concept of maximizing—careful evaluation of options in pursuit of optimal goals—to career decisions, the authors developed the Career Maximizing Scale (CMS). The measure was administered to samples of working adults and university students across 3 studies. Factor analysis indicated that the measure is unidimensional and has favorable psychometric properties. Career maximizing was related to but distinct from general maximizing. Career maximizing was positively related to indicators of decision confidence (e.g., career decision‐making self‐efficacy) and positively related to desirable career outcomes (e.g., career satisfaction). Career maximizing was also modestly related to certain desirable academic outcomes (e.g., commitment to university major). Use of the CMS may facilitate effective career counseling.