Coalition for a Healthier Community: Lessons learned and implications for future work

The Coalition for a Healthier Community (CHC) initiative was implemented to improve the health and well-being of women and girls. Underpinning CHC is a gender-based focus that uses a network of community partners working collaboratively to generate relevant behavior change and improved health outcomes. Ten programs are trying to determine whether gender-focused system approaches are cost-effective ways to address health disparities in women and girls. Programs implemented through coalitions made up of academic institutions, public health departments, community-based organizations, and local, regional, and national organizations, are addressing health issues such as domestic violence, cardiovascular disease prevention, physical activity, and healthy eating. Although these programs are ongoing, they have made significant progress. Key factors contributing to their early success include a comprehensive needs assessment, robust coalitions, the diversity of populations targeted, programs based on findings of the needs assessments, evaluations taking into consideration the effect of gender, and strong academic–community partnerships. A noteworthy impact of these programs has been their ability to shape and impact public, social, and health policies at the state and local levels. However, there have been challenges associated with the implementation of such a complex program. Lessons learned are discussed in this paper.     

An approximation of logarithmic functions in the regression setting

We consider a method of moments approach for dealing with censoring at zero for data expressed in levels when researchers would like to take logarithms. A Box–Cox transformation is employed. We explore this approach in the context of linear regression where both dependent and independent variables are censored. We contrast this method to two others, (1) dropping records of data containing censored values and (2) assuming normality for censored observations and the residuals in the model. Across the methods considered, where researchers are interested primarily in the slope parameter, estimation bias is consistently reduced using the method of moments approach.     

Conditional time-dependent nonparametric estimators with an application to healthcare production function

ABSTRACT

By using the probabilistic framework of production efficiency, the paper develops time-dependent conditional efficiency estimators performing a non-parametric frontier analysis. Specifically, by applying both full and quantile (robust) time-dependent conditional estimators, it models the dynamic effect of health expenditure on countries’ technological change and technological catch-up levels. The results from the application reveal that the effect of per capita health expenditure on countries’ technological change and technological catch-up is nonlinear and is subject to countries’ specific income levels.     

论公共管理实践中的“试点”方法

试点是我国公共管理实践中常用的一种方法,是政策制定的一个有机组成部分,为各级公共管理部门所广泛采用。当前我国公共管理部门所开展的试点越来越多,一方面说明试点是一种有效的公共管理方法,有利于提高制度设计的精度和可控性;另一方面也反映当前改革难度日趋加大,改革的不确定性逐渐增强。在实践中,试点方法又面临诸多挑战,影响了试点的内在效度和外在效度。因此,需要加强相关制度建设,以提高试点方法的内在效度与外在效度。     

梁启超的理性精神与学术态度

从“不为古人所欺，不为世法所挠”、“我物我格，我理我穷”，以及“除心奴”，反“依傍”三个层次论述了梁启超与西方启蒙主义相通的理性精神与学术态度。从理性精神的角度对众所周知的梁启超一生“多变”作了新的阐释。并认为，梁启超与王国维一样，具有“独立之精神，自由之思想”，只不过表现方式有所不同罢了。     

对建构主义教学观的几点认识

围绕建构主义教学观与传统教学观、建构主义教学策略、建构主义教学模式等几个方面 ,就数学教学谈了对建构主义教学观的几点认识     

A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data

Estimated associations between an outcome variable and misclassified covariates tend to be biased when the methods of estimation that ignore the classification error are applied. Available methods to account for misclassification often require the use of a validation sample (i.e. a gold standard). In practice, however, such a gold standard may be unavailable or impractical. We propose a Bayesian approach to adjust for misclassification in a binary covariate in the random effect logistic model when a gold standard is not available. This Markov Chain Monte Carlo (MCMC) approach uses two imperfect measures of a dichotomous exposure under the assumptions of conditional independence and non-differential misclassification. A simulated numerical example and a real clinical example are given to illustrate the proposed approach. Our results suggest that the estimated log odds of inpatient care and the corresponding standard deviation are much larger in our proposed method compared with the models ignoring misclassification. Ignoring misclassification produces downwardly biased estimates and underestimate uncertainty.     

我国近二十年电视艺术研究评述

本文对我国近20年来的电视美学理论、电视剧研究和专题片研究进行评述,探寻了电视艺术理论对电视艺术特性的辩析以及随着电视艺术的介入,电视艺术的通俗化、大众化和商业化趋向。