Generalized linear models with functional predictors

Summary. We present a technique for extending generalized linear models to the situation where some of the predictor variables are observations from a curve or function. The technique is particularly useful when only fragments of each curve have been observed. We demonstrate, on both simulated and real data sets, how this approach can be used to perform linear, logistic and censored regression with functional predictors. In addition, we show how functional principal components can be used to gain insight into the relationship between the response and functional predictors. Finally, we extend the methodology to apply generalized linear models and principal components to standard missing data problems.     

Liberal dreams: Materialism and evolutionary civil society in the projection of nation in Southeast Asia

This article focuses on the introduction of ethnicity into Southeast Asia, as a component of the nineteenth century British projection of empire. The argument is that rather than projecting a cosmopolitan vision of community, British liberalism naturalised ethnicity through the concept of civil society. This presented a global vision of societies being independent and emerging from the local landscape. These liberal notions of civil society represent an early incarnation of self-determination. The British Empire in Southeast Asia emerged within this intellectual climate, and its early construction reflected this vision. In essence, the British Empire in Southeast Asia was founded on the nebulous idea of providing self-determination to Southeast Asian nations. This notion of self-determination was a qualified concept of independence, framed around opening these civil societies to British trading hegemony.     

A case study in non-centering for data augmentation: Stochastic epidemics

In this paper, we introduce non-centered and partially non-centered MCMC algorithms for stochastic epidemic models. Centered algorithms previously considered in the literature perform adequately well for small data sets. However, due to the high dependence inherent in the models between the missing data and the parameters, the performance of the centered algorithms gets appreciably worse when larger data sets are considered. Therefore non-centered and partially non-centered algorithms are introduced and are shown to out perform the existing centered algorithms.     

Community exercise program for older adults recovering from hip fracture: a pilot study

Community-based rehabilitative exercise programs might be an effective means to improve functional outcomes for hip-fracture patients. The purpose of this study was to evaluate the effectiveness of a community exercise program (CEP) for older adults recovering from hip fracture. Twenty-five older adults (mean age 80.0 +/- 6.0 years; 24 women; 71 +/- 23 days post-hip fracture) participated in this pilot study (17 exercise, 8 control). The CEP involved functional stepping and lower extremity-strengthening exercises. Control participants received only standard outpatient therapy. Measures of functional mobility, balance confidence, falls efficacy, lower extremity strength, and daily physical activity were evaluated at baseline and at 16 weeks. Improvements for self-reported physical activity, mobility, balance, and knee-extensor strength were observed for the CEP group. This study demonstrated that a CEP is beneficial for community-dwelling older adults post-hip fracture.     

Convergence of Slice Sampler Markov Chains

We analyse theoretical properties of the slice sampler. We find that the algorithm has extremely robust geometric ergodicity properties. For the case of just one auxiliary variable, we demonstrate that the algorithm is stochastically monotone, and we deduce analytic bounds on the total variation distance from stationarity of the method by using Foster–Lyapunov drift condition methodology.     

Gender Minority Stress: A Critical Review

ABSTRACT

Past studies that compare cisgender to transgender (or trans) and gender diverse people have found a higher prevalence of mental health problems among the latter groups. This article uses Testa’s gender minority stress framework, which is an expansion of minority stress theory, to assess minority stressors that are specific to the experiences of trans and gender diverse people. The concept of cisnormativity, an ideology that positions cisgender identities as a norm, is used in relation to the gender minority stress framework to describe the marginalizing nature of social environments for trans and gender diverse people. This article provides a critical review that integrates and expands on past theoretical perspectives on gender minority stressors and protective factors. Specifically, this article demonstrates the relevance of cultural and ethnic backgrounds to complement the application of intersectionality in research on health disparities experienced by trans and gender diverse people.     

Markov Chains and De-initializing Processes

We define a notion of de-initializing Markov chains. We prove that to analyse convergence of Markov chains to stationarity, it suffices to analyse convergence of a de-initializing chain. Applications are given to Markov chain Monte Carlo algorithms and to convergence diagnostics.     

Weight-preserving simulated tempering

Statistics and Computing - Simulated tempering is a popular method of allowing MCMC algorithms to move between modes of a multimodal target density $$\pi $$. One problem with simulated tempering...     

Making Development Assistance More Effective Through Using Political‐economy Analysis: What Has Been Done and What Have We Learned?

Politics often explains where development assistance has been effective and where it has not. Yet, until the 2000s there has been little focus by development agencies on political issues. This has recently begun to change with political‐economy analysis (PEA) now being more systematically used by development agencies to understand the real world. Nigeria and Bangladesh are two positive examples. Much remains to be done in these countries and more widely, to ensure stronger uptake of PEA. On the supply side this includes getting the ‘product’ right, and better communicating the message. On the demand side, there is a need to take more account of the incentives facing development agencies and to gather more systematic evidence on the operational impact of PEA to date.