Bayesian analysis of null intercept errors-in-variables regression for pretest/post-test data

This article discusses a Bayesian analysis of repeated measures pretest/post-test data under null intercepts errors-in-variables regression models. For illustration we consider an example in the field of dentistry involving the comparison of two types of toothbrushes with respect to the efficacy in removing dental plaque. The proposed Bayesian approach accommodates the correlated measurements and incorporates the restriction that the slopes must lie in the [0,1] interval, a feature not considered in the analysis conducted by Singer & Andrade (1997). The observed values of the (repeated) response and explanatory variables are supposed to follow a Multivariate Student- t distribution. A Gibbs sampler is used to perform the computations.     

Influence diagnostics in heteroscedastic and/or autoregressive nonlinear elliptical models for correlated data

In this paper, we propose nonlinear elliptical models for correlated data with heteroscedastic and/or autoregressive structures. Our aim is to extend the models proposed by Russo et al. 22 by considering a more sophisticated scale structure to deal with variations in data dispersion and/or a possible autocorrelation among measurements taken throughout the same experimental unit. Moreover, to avoid the possible influence of outlying observations or to take into account the non-normal symmetric tails of the data, we assume elliptical contours for the joint distribution of random effects and errors, which allows us to attribute different weights to the observations. We propose an iterative algorithm to obtain the maximum-likelihood estimates for the parameters and derive the local influence curvatures for some specific perturbation schemes. The motivation for this work comes from a pharmacokinetic indomethacin data set, which was analysed previously by Bocheng and Xuping 1 under normality.     

An introduction to the theory of constraint and how it can be applied to medical management

This overview of a new way of thinking about medical management problems could help physicians executives think about those problems differently.     

The minimum vulnerability problem on specific graph classes

Suppose that each edge e of an undirected graph G is associated with three nonnegative integers \(\mathsf{cost}(e)\), \(\mathsf{vul}(e)\) and \(\mathsf{cap}(e)\), called the cost, vulnerability and capacity of e, respectively. Then, we consider the problem of finding \(k\) paths in G between two prescribed vertices with the minimum total cost; each edge e can be shared without any cost by at most \(\mathsf{vul}(e)\) paths, and can be shared by more than \(\mathsf{vul}(e)\) paths if we pay \(\mathsf{cost}(e)\), but cannot be shared by more than \(\mathsf{cap}(e)\) paths even if we pay the cost for e. This problem generalizes the disjoint path problem, the minimum shared edges problem and the minimum edge cost flow problem for undirected graphs, and it is known to be NP-hard. In this paper, we study the problem from the viewpoint of specific graph classes, and give three results. We first show that the problem is NP-hard even for bipartite outerplanar graphs, 2-trees, graphs with pathwidth two, complete bipartite graphs, and complete graphs. We then give a pseudo-polynomial-time algorithm for bounded treewidth graphs. Finally, we give a fixed-parameter algorithm for chordal graphs when parameterized by the number \(k\) of required paths.     

The independent living movement in Asia: solidarity from Japan

Independent living movements of disabled people are emerging in Asian countries, supported by independent living centres (ILCs) in Japan. A study was conducted in Japan to explore the impact of the training program offered by Japanese ILCs to disabled people from other Asian countries. A sample of 35 people was selected by a snowballing method. The sample included former trainees from Asian countries and Japanese personnel from disability organizations involved with the training program. In‐depth interviews and a focus group were conducted to obtain information about the program, the experiences of the trainees and Japanese hosts and the budding independent living movement in Asia.     

何心隐的"不落意气"之论

宋明理学者不例外地认为豪杰不如圣贤.何心隐倒很拥护豪杰.他同时代人当中,王畿和其它心学者最严格地批评豪杰.他们认为因豪杰心里有意气妨碍心之本体的活动,所以学者必须得扫荡自己心里的意气.何心隐认为圣贤的意气和豪杰的意气没有道德价值上的差别.他很拥护个人有意志采取主体行动,歌颂个人行动的自由.     

Empirical research on international environmental migration: a systematic review

This paper presents the findings of a systematic review of scholarly publications that report empirical findings from studies of environmentally-related international migration. There exists a small, but growing accumulation of empirical studies that consider environmentally-linked migration that spans international borders. These studies provide useful evidence for scholars and policymakers in understanding how environmental factors interact with political, economic and social factors to influence migration behavior and outcomes that are specific to international movements of people, in highlighting promising future research directions, and in raising important considerations for international policymaking. Our review identifies countries of migrant origin and destination that have so far been the subject of empirical research, the environmental factors believed to have influenced these migrations, the interactions of environmental and non-environmental factors as well as the role of context in influencing migration behavior, and the types of methods used by researchers. In reporting our findings, we identify the strengths and challenges associated with the main empirical approaches, highlight significant gaps and future opportunities for empirical work, and contribute to advancing understanding of environmental influences on international migration more generally. Specifically, we propose an exploratory framework to take into account the role of context in shaping environmental migration across borders, including the dynamic and complex interactions between environmental and non-environmental factors at a range of scales.     

Markov chain Monte Carlo tests for designed experiments

We consider conditional exact tests of factor effects in designed experiments for discrete response variables. Similarly to the analysis of contingency tables, a Markov chain Monte Carlo method can be used for performing exact tests, when large-sample approximations are poor and the enumeration of the conditional sample space is infeasible. For designed experiments with a single observation for each run, we formulate log-linear or logistic models and consider a connected Markov chain over an appropriate sample space. In particular, we investigate fractional factorial designs with 2^p-q$2^{p-q}$ runs, noting correspondences to the models for 2^p-q$2^{p-q}$ contingency tables.     

Exploring trends: tracking evaluations data over several months by therapists and parents of children with cerebral palsy

A pilot study was conducted at the outpatient rehabilitation unit of a children's hospital to explore the overall performance trends of children in daily life as perceived by their parents, compared to the evaluations of therapists. A performance goal was set for each child by his/her therapist and parent at an initial consultation. Over a six-month period, data were collected from the parents of children with cerebral palsy (N = 53), and therapists assessed children at each therapy session as well. The evaluations of both parents and therapists showed statistically significant upward trends in performance over several months.