Confidence intervals for the difference of marginal probabilities in clustered matched-pair binary data

Although there are several available test statistics to assess the difference of marginal probabilities in clustered matched‐pair binary data, associated confidence intervals (CIs) are not readily available. Herein, the construction of corresponding CIs is proposed, and the performance of each CI is investigated. The results from Monte Carlo simulation study indicate that the proposed CIs perform well in maintaining the nominal coverage probability: for small to medium numbers of clusters, the intracluster correlation coefficient‐adjusted McNemar statistic and its associated Wald or Score CIs are preferred; however, this statistic becomes conservative when the number of clusters is larger so that alternative statistics and their associated CIs are preferred. In practice, a combination of the intracluster correlation coefficient‐adjusted McNemar statistic with an alternative statistic is recommended. To illustrate the practical application, a real clustered matched‐pair collection of data is used to illustrate testing the difference of marginal probabilities and constructing the associated CIs. Copyright © 2012 John Wiley & Sons, Ltd.     

What is the Word at Logos College? Homosocial ritual or homosexual denial in Don Delillo's End Zone?

"What Is the Word at Logos College? Homosocial Ritual or Homosexual Denial in Don Delillo's End Zone?" investigates the homoerotic desire that, despite being culturally repressed, periodically surfaces in foothall. Given the highly closeted nature of American foothall, it is necessary to look at the puns, allusions, and interactions between the players to see how Don DeLillo has created a text that subtly exposes the homoerotics of male sport. In order to strengthen the connection between homoeroticism and football, I will show how football's invention and organization in America coincides with the construction of the homosexual subject. Football and other arenas for male-male play become enforced at the same time as desire begins to express itself; thus, football is the logical place in America to look for unresolved (and resolved) male homosexuality, and DeLillo does this skillfully.     

Scheduling a multi-stage production system with startup delays

The problem treated is that of multi-stage scheduling as affected by the interdependence of successive stages. An algorithm is developed which incorporates startup delays as analytical functions of cycle times and production rates at adjacent stages. This is accomplished in part by imposing integer multiple restrictions on the relationship between the cycle times at adjacent stages. Total cost is then minimized for a given set of integer multiples.     

Testing overdispersion in the zero-inflated Poisson model

The zero-inflated negative binomial (ZINB) model is used to account for commonly occurring overdispersion detected in data that are initially analyzed under the zero-inflated Poisson (ZIP) model. Tests for overdispersion (Wald test, likelihood ratio test [LRT], and score test) based on ZINB model for use in ZIP regression models have been developed. Due to similarity to the ZINB model, we consider the zero-inflated generalized Poisson (ZIGP) model as an alternate model for overdispersed zero-inflated count data. The score test has an advantage over the LRT and the Wald test in that the score test only requires that the parameter of interest be estimated under the null hypothesis. This paper proposes score tests for overdispersion based on the ZIGP model and illustrates that the derived score statistics are exactly the same as the score statistics under the ZINB model. A simulation study indicates the proposed score statistics are preferred to other tests for higher empirical power. In practice, based on the approximate mean–variance relationship in the data, the ZINB or ZIGP model can be considered, and a formal score test based on asymptotic standard normal distribution can be employed for assessing overdispersion in the ZIP model. We provide an example to illustrate the procedures for data analysis.     

The dynamic,complex and diverse living and care arrangements of young New Zealanders: implications for policy

The living arrangements of young people in New Zealand are diverse and often complex. In this article we report the range of care and living arrangements of 209 15-year-old New Zealanders, 47 of whom identified as Māori. These young people were participants in the second generation of a cohort study. Data were collected from their parents via a life history calendar and analysed for variety and consistency of care arrangements, household membership and transitions. Few participants had a consistent pattern of parental care arrangements and most had experienced multiple changes in household composition and frequent changes of address. We conclude that the whānau/family lives of many young New Zealanders are complex and dynamic. These observations contrast with the conventional notions of family life that form the basis for New Zealand’s family policies. We argue that social policies and services impacting on young people need to reflect the lived reality of young people if they are to meet young people’s needs.     

Finding the ‘Neo’ in Neoliberalism

‘Liberalism’ and ‘neoliberalism’ have become important shorthand terms in critical work that seeks to incorporate issues of economics into ideological and epochal analyses. Yet, these terms incorporate theoretical histories and refer to historical contexts so vast that they can seem ambiguous and boundaryless. This ambiguity threatens to reduce the analytical usefulness of the terms liberalism and neoliberalism. In this paper, I map the legacies and meanings of the terms liberalism and neoliberalism and diagram the complexity and specificity of what neoliberalism is today. First, I engage a small set of definitions and uses of these terms to try to make sense of liberalism and neoliberalism as historical-theoretical concepts. Second, I group current academic uses of the term neoliberalism into Foucauldian, Marxist and epochalist camps, explaining the limits of each. Third, drawing on a fourth minor strand of work on neoliberalism that opens a path to better defining and using the term, I present my own definition of neoliberalism that distinguishes between a theoretical mode and an articulation mode. I conclude by proposing that what is new in neoliberalism is what I call corporism, the privileging of the form and position of corporations.     

Using an empirical binomial hierarchical Bayesian model as an alternative to analyzing data from multisite studies

This article explores the statistical methodologies used in demonstration and effectiveness studies when the treatments are applied across multiple settings. The importance of evaluating and how to evaluate these types of studies are discussed. As an alternative to standard methodology, the authors of this article offer an empirical binomial hierarchical Bayesian model as a way to effectively evaluate multisite studies. An application of using the Bayesian model in a real-world multisite study is given.     

Some Remarks on Testing Overdispersion in Zero-Inflated Poisson and Binomial Regression Models

This note extends the score test statistics for overdispersion in Poisson and binomial regression models (Dean, 1992 Dean , C. B. ( 1992 ). Testing for overdispersion in Poisson and binomial regression models . J. Amer. Statist. Assoc. 87 : 451 – 457 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) to the zero-inflated models. Some general results are obtained, and examples illustrate the application of the extended results.