Elite,exclusive and elusive: transgovernmental policy networks and iterative policy transfer in the Anglosphere

ABSTRACT

The prominent corridor of bilateral policy transfer between Australia and the UK is underpinned by a long-standing cultural and political proximity. While ad hoc cases of transfer have in recent years been the subject to concerted attention from transfer theorists, much less attention has been given to the rise of multilateral, or transgovernmental, policy networks based on similar cultural and political amity amongst the ‘Anglosphere’ group of states including Australia, Canada, New Zealand, the UK and the US. Populated by policy elites and regularly interacting, these networks represent potentially important modes of policy transfer yet little is known about how they operate, with what purposes or what outcomes. This article therefore sets out research findings that offer an insight into 23 identified networks, suggesting that understanding the emergence of these networks are crucial to explaining any bilateral transfer between Anglosphere states in general, and specifically Australia and the UK. The article contends that a consideration of these networks provides insight into (i) the substantive landscape of Anglosphere policy learning and collaboration, (ii) the attendant dynamics of collaborative policy networks as elite, elusive and exclusive and (iii) iterative policy transfers.     

Body Image for Women: Conceptualization, Assessment, and a Test of its Importance to Sexual Dysfunction and Medical Illness

The content and valence of women's body image attitudes, general and enduring positive or negative feelings about the body, are studied with psychometric analyses of measures and contrasted groups. Data from two frequently used measures (Body Image Scale, Derogatis & Melisaratos, 1979; Body Satisfaction Scale, Berscheid, Walster & Bohrnstedt, 1973) provided an evaluation of the construct and the assessment of body image. Two studies are provided. The construct analyses suggest two contents for body attitude measures: a general factor of body, facial, and sexual (genital and breast) items, and a second factor assessing weight and/or its body correlates-the hips, thighs, and buttocks. Also, a method factor, a response style of negativity, may be important. Body image attitudes are correlated with some conceptually relevant criteria, such as interest in engaging in sexual activity; however, these relationships do not appear sufficiently strong to predict behavior, such as the occurrence or resolution of sexual dysfunction. Generalized body image disturbance as currently conceptualized and assessed may be difficult to document, particularly when item content and response styles are considered.     

On the use of extreme value tail modeling for generalized pairwise comparisons with censored outcomes

In randomized clinical trials, methods of pairwise comparisons such as the ‘Net Benefit’ or the ‘win ratio’ have recently gained much attention when interests lies in assessing the effect of a treatment as compared to a standard of care. Among other advantages, these methods are usually praised for delivering a treatment measure that can easily handle multiple outcomes of different nature, while keeping a meaningful interpretation for patients and clinicians. For time-to-event outcomes, a recent suggestion emerged in the literature for estimating these treatment measures by providing a natural handling of censored outcomes. However, this estimation procedure may lead to biased estimates when tails of survival functions cannot be reliably estimated using Kaplan–Meier estimators. The problem then extrapolates to the other outcomes incorporated in the pairwise comparison construction. In this work, we suggest to extend the procedure by the consideration of a hybrid survival function estimator that relies on an extreme value tail model through the Generalized Pareto distribution. We provide an estimator of treatment effect measures that notably improves on bias and remains easily apprehended for practical implementation. This is illustrated in an extensive simulation study as well as in an actual trial of a new cancer immunotherapy.     

Validation of prognostic indices using the frailty model

A major issue when proposing a new prognostic index is its generalisibility to daily clinical practice. Validation is therefore required. Most validation techniques assess whether “on average” the results obtained by the prognostic index in classifying patients in a new sample of patients are similar to the results obtained in the construction set. We introduce a new important aspect of the generalisibility of a prognostic index: the heterogeneity of the prognostic index risk group hazard ratios over different centers. If substantial variability between centers exists, the prognostic index may have no discriminatory capability in some of the centers. To model such heterogeneity, we use a frailty model including a random center effect and a random prognostic index by center interaction. Statistical inference is based on a Bayesian approach using a Laplacian approximation for the marginal posterior distribution of the variances of the random effects. We investigate different ways to summarize the information available from this marginal posterior distribution. Our approach is applied to a real bladder cancer database for which we demonstrate how to investigate and interpret heterogeneity in prognostic index effect over centers.     

Adjusting for centre heterogeneity in multicentre clinical trials with a time‒to‒event outcome

Conducting a clinical trial at multiple study centres raises the issue of whether and how to adjust for centre heterogeneity in the statistical analysis. In this paper, we address this issue for multicentre clinical trials with a time?to?event outcome. Based on simulations, we show that the current practice of ignoring centre heterogeneity can be seriously misleading, and we illustrate the performances of the frailty modelling approach over competing methods. A special attention is paid to the problem of misspecification of the frailty distribution. The appendix provides sample codes in R and in SAS to perform the analyses in this paper. Copyright © 2014 John Wiley & Sons, Ltd.     

Materializing Strategy in Mundane Tools: the Key to Coupling Global Strategy and Local Strategy Practice?

While much of the literature on strategy and strategy as practice (SaP) focuses on traditional strategic tools, technologies and discursive practices of managers, this paper extends the understanding of strategic change implementation by proposing that mundane material tools, understood as text, translate global strategic discourse in ways that make sense to workers and orchestrate successful global strategy implementation at the local level. Based on a rich case study within one branch of a national bank, this paper demonstrates how a middle manager's materializing practices developed local strategy practice while simultaneously transforming work and producing strategic figures or indicators that satisfied senior management's global strategic change objectives. The contributions of this paper are threefold: (i) it advances the understanding of the multimodality of materiality by identifying the influence of three types of mundane tools produced locally by a middle manager as he performed his sense of the senior managers’ strategic discourse; (ii) it reveals how these three types of physical texts materialized the manager's sense of this discourse, facilitating frontline workers’ engagement and coupling materiality and orality in a coherent way that allowed workers to embody the company's global strategy in their ‘sayings and doings’; and (iii) it highlights the importance of managers’ ability to materialize a strategic discourse.     

Vertical modeling: analysis of competing risks data with a cure fraction

In this paper, we extend the vertical modeling approach for the analysis of survival data with competing risks to incorporate a cure fraction in the population, that is, a proportion of the population for which none of the competing events can occur. The proposed method has three components: the proportion of cure, the risk of failure, irrespective of the cause, and the relative risk of a certain cause of failure, given a failure occurred. Covariates may affect each of these components. An appealing aspect of the method is that it is a natural extension to competing risks of the semi-parametric mixture cure model in ordinary survival analysis; thus, causes of failure are assigned only if a failure occurs. This contrasts with the existing mixture cure model for competing risks of Larson and Dinse, which conditions at the onset on the future status presumably attained. Regression parameter estimates are obtained using an EM-algorithm. The performance of the estimators is evaluated in a simulation study. The method is illustrated using a melanoma cancer data set.

     

The impact of childhood mortality on Fertility in six rural Thanas of Bangladesh

In this article, we examine the relationship between child mortality and subsequent fertility using prospective longitudinal data on births and childhood deaths occurring to nearly 8000 Bangladeshi mothers observed over the 1982-1993 period, a time of rapid fertility decline. Generalized hazard-regression analyses are employed to assess the effect of infant and child mortality on the hazard of conception, with controls for birth order and maternal age and educational attainment. Results show that childhood mortality reduces the time to subsequent conception if the death occurs within a given interval, representing the combined effect of biological and volitional replacement. The time to conception is also reduced if a childhood death occurs during a prior birth interval, a finding that signifies an effect of volitional replacement of the child that died. Moreover, mortality effects in prior birth intervals are consistent with hypothesized insurance (or hoarding) effects. Interaction of replacement with elapsed time suggests that the volitional impact of child mortality increases as the demographic transition progresses. This volitional effect interacts with sex of index child. Investigation of higher-order interactions suggests that this gender-replacement effect has not changed over time.     

Influenza vaccine efficacy trials: a simulation approach to understand failures from the past

The success of a seasonal influenza vaccine efficacy trial depends not only upon the design but also upon the annual epidemic characteristics. In this context, simulation methods are an essential tool in evaluating the performances of study designs under various circumstances. However, traditional methods for simulating time‐to‐event data are not suitable for the simulation of influenza vaccine efficacy trials because of the seasonality and heterogeneity of influenza epidemics. Instead, we propose a mathematical model parameterized with historical surveillance data, heterogeneous frailty among the subjects, survey‐based heterogeneous number of daily contact, and a mixed vaccine protection mechanism. We illustrate our methodology by generating multiple‐trial data similar to a large phase III trial that failed to show additional relative vaccine efficacy of an experimental adjuvanted vaccine compared with the reference vaccine. We show that small departures from the designing assumptions, such as a smaller range of strain protection for the experimental vaccine or the chosen endpoint, could lead to smaller probabilities of success in showing significant relative vaccine efficacy. Copyright © 2015 John Wiley & Sons, Ltd.     

Likelihood-Based Inference for Semi-Competing Risks

Consider semi-competing risks data (two times to concurrent events are studied but only one of them is right-censored by the other one) where the link between the times Y and C to non-terminal and terminal events, respectively, is modeled by a family of Archimedean copulas. Moreover, both Y and C are submitted to an independent right censoring variable D. We propose to estimate the parameter of the copula and some resulting survival functions using a pseudo maximum likelihood approach. The main advantage of this procedure is that it extends to multidimensional parameters copulas. We perform simulations to study the behavior of our estimation procedure and its impact on other related estimators and we apply our method to real data coming from a study on the Hodgkin disease.