A note on the accuracy of fisher's approximation to the large sample variance of an intraclass correlationa

The adequacy of Fisher's approximation to the large sample variance of an intraclass correlation is investigated in the context of family studies. It is found that the approximation is highly accurate in samples of moderately large size (≧ 30 families), and can also be used for significance-testing under a broad range of circumstances. The exact sampling of distribution of the intraclass correlation coefficient is also derived.     

Service workers' responses to abuse of the elderly

The social service providers and physicians who encounter elder abuse have several potential avenues of intervention open to them in helping the elderly. Practice and training issues are discussed that are relevant for improving interventions and referrals in cases of family abuse of the elderly.     

Role of social welfare in European suicide prevention

Yur'yev A, Värnik A, Värnik P, Sisask M, Leppik L. Role of social welfare in European suicide prevention The aims of this study were to assess the relationship between suicide mortality and social expenditure in 26 European countries, explore attitudes towards welfare systems and their relationship with suicide mortality, and compare attitudes towards welfare provision in Eastern and Western Europe. The World Health Organization suicide data and Organisation for Economic Co‐operation and Development social expenditure data for 1980–2005 were used. Data on attitudes towards welfare systems were taken from the European Social Survey. Differences between mean scores for attitudes in Western and Eastern European countries were calculated. Correlations between social expenditure and suicide trends were negative in most countries for both genders. Inverse correlations between attitudes towards welfare provision and suicide mortality rates were demonstrated for males only. Differences in attitudes were found between Eastern and Western European countries; for example, confidence in the welfare system was found to be stronger in Western Europe. Higher social expenditure and greater confidence in welfare provision appear to have suicide‐preventive effects.     

Inference in Dynamic Discrete Choice Models With Serially orrelated Unobserved State Variables

This paper develops a method for inference in dynamic discrete choice models with serially correlated unobserved state variables. Estimation of these models involves computing high‐dimensional integrals that are present in the solution to the dynamic program and in the likelihood function. First, the paper proposes a Bayesian Markov chain Monte Carlo estimation procedure that can handle the problem of multidimensional integration in the likelihood function. Second, the paper presents an efficient algorithm for solving the dynamic program suitable for use in conjunction with the proposed estimation procedure.     

Computational Examples of a New Method for Distribution Selection in the Pearson System

A considerable problem in statistics and risk management is finding distributions that capture the complex behaviour exhibited by financial data. The importance of higher order moments in decision making has been well recognized and there is increasing interest in modelling with distributions that are able to account for these effects. The Pearson system can be used to model a wide scale of distributions with various skewness and kurtosis. This paper provides computational examples of a new easily implemented method for selecting probability density functions from the Pearson family of distributions. We apply this method to daily, monthly, and annual series using a range of data from commodity markets to macroeconomic variables.     

Determination of the Selection Statistics and Best Significance Level in Backward Stepwise Logistic Regression

The weighted generalized estimating equation (WGEE), an extension of the generalized estimating equation (GEE) method, is a method for analyzing incomplete longitudinal data. An inappropriate specification of the working correlation structure results in the loss of efficiency of the GEE estimation. In this study, we evaluated the efficiency of WGEE estimation for incomplete longitudinal data when the working correlation structure was misspecified. As a result, we found that the efficiency of the WGEE estimation was lower when an improper working correlation structure was selected, similar to the case of the GEE method. Furthermore, we modified the criterion proposed by Gosho et al. (2011 Gosho, M., Hamada, C. and Yoshimura, I. 2011. Criterion for the selection of a working correlation structure in the generalized estimating equation approach for longitudinal balanced data. Communications in Statistics -Theory and Methods, 40: 3839–3856. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) for selecting a working correlation structure, such that the GEE and WGEE methods can be applied to incomplete longitudinal data, and we investigated the performance of the modified criterion. The results revealed that when the modified criterion was adopted, the proportion that the true correlation structure was selected was likely higher than that in the case of adopting other competing approaches.     

Trajectory Modeling of Longitudinal Binary Data: Application of the EM Algorithm for Mixture Models

A developmental trajectory describes the course of behavior over time. Identifying multiple trajectories within an overall developmental process permits a focus on subgroups of particular interest. We introduce a framework for identifying trajectories by using the Expectation-Maximization (EM) algorithm to fit semiparametric mixtures of logistic distributions to longitudinal binary data. For performance comparison, we consider full maximization algorithms (PROC TRAJ in SAS), standard EM, and two other EM-based algorithms for speeding up convergence. Simulation shows that EM methods produce more accurate parameter estimates. The EM methodology is illustrated with a longitudinal dataset involving adolescents smoking behaviors.     

THE COMMUNICATION RAPID ASSESSMENT SCALE: DEVELOPMENT OF A BEHAVIORAL INDEX OF COMMUNICATION QUALITY

The development of a rapid, easy to use, behaviorally oriented communication assessment scale is traced. A series of studies designed to determine its validity, reliability, and usefulness as an outcome measure are summarized. The current and potential uses of the scale are outlined along with guidelines for its application.