Linking Elderly to Holistic Care Services through Integrated Communication Technology: The Personal Emergency Link Service Rendered by the Senior Citizen Home Safety Association in Hong Kong

Through a Personal Emergency Link system, the Senior Citizen Home Safety Association has rendered 24-hour care to more than 111,000 service users in Hong Kong who are mostly vulnerable seniors and chronic invalids living alone or living with their elderly spouses/caregivers only. This article will describe how the Personal Emergency Link system is used to link seniors living in the community. Measures taken to prevent failure of the system will be described. With the use of different technology applications, many human touches and warm caregiving are rendered to the elderly and needy.     

Anderson's classification statistic based on a post-stratified training sample

The performance of Anderson's classification statistic based on a post-stratified random sample is examined. It is assumed that the training sample is a random sample from a stratified population consisting of two strata with unknown stratum weights. The sample is first segregated into the two strata by post-stratification. The unknown parameters for each of the two populations are then estimated and used in the construction of the plug-in discriminant. Under this procedure, it is shown that additional estimation of the stratum weight will not seriously affect the performance of Anderson's classification statistic. Furthermore, our discriminant enjoys a much higher efficiency than the procedure based on an unclassified sample from a mixture of normals investigated by Ganesalingam and McLachlan (1978).     

Enhancing life satisfaction by government accountability in China

Finding the rationale for democracy requires not merely a conceptual task but also an empirical study. One rationale is that democracy maximizes people’s happiness by satisfying everyone. A further qualification of this is that democracy minimizes the maximum regret of the disadvantaged. This is compatible with the protection theory of government, which states that the government serves to protect the powerless. These arguments lead to hypotheses that perceived government accountability enhances the life satisfaction of the citizen, especially the powerless one. The hypotheses attain support from the present study, which surveyed 732 inhabitants in Beijing, China. Accordingly, government accountability including reducing corruption and inequality and increasing tolerance and democracy showed significant effects on life satisfaction in all economic, cultural, and political aspects. Furthermore, the effects are stronger on one with lower education and occupational status, and working outside the government. These findings demonstrate the salutary effect of the legitimation policy by enhancing government accountability or democracy in China. This article evolves from a research project, solely funded by the Strategic Research Grant of the City University of Hong Kong (#7000902). Its principal investigator is Kwan-kwok Leung and the other research team members are Glenn Drover and Chau-kiu Cheung.     

A Risk-Based Approach to Setting Priorities in Protecting Bridges Against Terrorist Attacks

This article presents an approach to the problem of terrorism risk assessment and management by adapting the framework of the risk filtering, ranking, and management method. The assessment is conducted at two levels: (1) the system level, and (2) the asset-specific level. The system-level risk assessment attempts to identify and prioritize critical infrastructures from an inventory of system assets. The definition of critical infrastructures offered by Presidential Decision Directive 63 was used to determine the set of attributes to identify critical assets--categorized according to national, regional, and local impact. An example application is demonstrated using information from the Federal Highway Administration National Bridge Inventory for the State of Virginia. Conversely, the asset-specific risk assessment performs an in-depth analysis of the threats and vulnerabilities of a specific critical infrastructure. An illustration is presented to offer some insights in risk scenario identification and prioritization, multiobjective evaluation of management options, and extreme-event analysis for critical infrastructure protection.     

Relations Between Social Problem Solving and Indicators of Interpersonal and Family Well-Being Among Chinese Adolescents in Hong Kong

This study evaluated the dimensionality of the construct of social problem solving and examined the relationships between social problem solving and empathy, emotional well-being and family well-being in a sample of secondary school students in Hong Kong (N=1462). The participants completed measures of social problem solving (the 25-item short form of the Chinese version of the Social Problem-Solving Inventory: C-SPSI-R), empathy (the Chinese Interpersonal Reactivity Scale), emotional well-being (the Chinese Vengeance Scale) and family well-being (the Chinese Family Assessment Instrument and the Conflict Behaviour Questionnaire). Regarding the dimensionality of the C-SPSI, confirmatory factor analysis showed that the scale has a stable five-factor structure (RMSEA=0.05) and that the related subscales were reliable (with ranging from 0.65 to 0.81). Participants with higher levels of social problem solving had higher levels of empathy and lower personal distress in applying empathy, which suggested that these personal competencies were inter-related. Higher levels of social problem solving were also related to better emotional well-being (less tendency to take revenge) and better family quality of life (better family functioning and fewer parent-adolescent conflicts).     

Covariate classification by post–stratification

The plug–in Anderson's covariate classification statistic is constructed on the basis of an initially unclassified training sample by means of posty–stratification. The asymptotic efficiency relative to the discriminant based on an initially classified training sample is evaluated for the case where a covariate is present. Effect of post–stratification is examined.     

Positive False Discovery Rate Estimate in Step-Wise Variable Selection

Selecting predictors to optimize the outcome prediction is an important statistical method. However, it usually ignores the false positives in the selected predictors. In this article, we advocate a conventional stepwise forward variable selection method based on the predicted residual sum of squares, and develop a positive false discovery rate (pFDR) estimate for the selected predictor subset, and a local pFDR estimate to prioritize the selected predictors. This pFDR estimate takes account of the existence of non null predictors, and is proved to be asymptotically conservative. In addition, we propose two views of a variable selection process: an overall and an individual test. An interesting feature of the overall test is that its power of selecting non null predictors increases with the proportion of non null predictors among all candidate predictors. Data analysis is illustrated with an example, in which genetic and clinical predictors were selected to predict the cholesterol level change after four months of tamoxifen treatment, and pFDR was estimated. Our method's performance is evaluated through statistical simulations.     

Bias Reduction using Stochastic Approximation

The paper studies stochastic approximation as a technique for bias reduction. The proposed method does not require approximating the bias explicitly, nor does it rely on having independent identically distributed (i.i.d.) data. The method always removes the leading bias term, under very mild conditions, as long as auxiliary samples from distributions with given parameters are available. Expectation and variance of the bias-corrected estimate are given. Examples in sequential clinical trials (non-i.i.d. case), curved exponential models (i.i.d. case) and length-biased sampling (where the estimates are inconsistent) are used to illustrate the applications of the proposed method and its small sample properties.