To adjust or not to adjust for baseline when analyzing repeated binary responses? The case of complete data when treatment comparison at study end is of interest

The benefits of adjusting for baseline covariates are not as straightforward with repeated binary responses as with continuous response variables. Therefore, in this study, we compared different methods for analyzing repeated binary data through simulations when the outcome at the study endpoint is of interest. Methods compared included chi‐square, Fisher's exact test, covariate adjusted/unadjusted logistic regression (Adj.logit/Unadj.logit), covariate adjusted/unadjusted generalized estimating equations (Adj.GEE/Unadj.GEE), covariate adjusted/unadjusted generalized linear mixed model (Adj.GLMM/Unadj.GLMM). All these methods preserved the type I error close to the nominal level. Covariate adjusted methods improved power compared with the unadjusted methods because of the increased treatment effect estimates, especially when the correlation between the baseline and outcome was strong, even though there was an apparent increase in standard errors. Results of the Chi‐squared test were identical to those for the unadjusted logistic regression. Fisher's exact test was the most conservative test regarding the type I error rate and also with the lowest power. Without missing data, there was no gain in using a repeated measures approach over a simple logistic regression at the final time point. Analysis of results from five phase III diabetes trials of the same compound was consistent with the simulation findings. Therefore, covariate adjusted analysis is recommended for repeated binary data when the study endpoint is of interest. Copyright © 2015 John Wiley & Sons, Ltd.     

Who Do You Say That I Am? A History of How Religion Communicators Have Often Avoided “Public Relations”

ABSTRACT

This article argues that Religion Communicators Council members have historically avoided identification with public relations—especially practices associated with Edward Bernays. Council members appear to consider Bernays’ research-based approach evil and manipulative. Instead, religion communicators follow in Ivy Lee's footsteps. The one-time journalist promised to provide honest, accurate news about his clients, not advertising. Comments in council documents have shown that since 1929 members describe themselves more as technicians and in-house journalists who provide news about their organizations than as management-level public relations counsels. These comments reflect Lee's 1905 Declaration of Principles and a public-information approach to public relations.     

Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model

In recent years, there has been considerable interest in regression models based on zero-inflated distributions. These models are commonly encountered in many disciplines, such as medicine, public health, and environmental sciences, among others. The zero-inflated Poisson (ZIP) model has been typically considered for these types of problems. However, the ZIP model can fail if the non-zero counts are overdispersed in relation to the Poisson distribution, hence the zero-inflated negative binomial (ZINB) model may be more appropriate. In this paper, we present a Bayesian approach for fitting the ZINB regression model. This model considers that an observed zero may come from a point mass distribution at zero or from the negative binomial model. The likelihood function is utilized to compute not only some Bayesian model selection measures, but also to develop Bayesian case-deletion influence diagnostics based on q-divergence measures. The approach can be easily implemented using standard Bayesian software, such as WinBUGS. The performance of the proposed method is evaluated with a simulation study. Further, a real data set is analyzed, where we show that ZINB regression models seems to fit the data better than the Poisson counterpart.     

A Comparison of the Performance of Phase II Simple Linear Profile Control Charts when Parameters are Estimated

The standard deviation of the average run length (SDARL) is an important performance metric in studying the performance of control charts with estimated in-control parameters. Only a few studies in the literature, however, have considered this measure when evaluating control chart performance. The current study aims at comparing the in-control performance of three phase II simple linear profile monitoring approaches; namely, those of Kang and Albin (2000), Kim et al. (2003), and Mahmoud et al. (2010). The comparison is performed under the assumption of estimated parameters using the SDARL metric. In general, the simulation results of the current study show that the method of Kim et al. (2003) has better overall statistical performance than the competing methods in terms of SDARL values. Some of the recommended approaches based solely on the usual average run length properties can have poor SDARL performance.     

Disability, social exclusion and the consequential experience of justiciable problems

In this article, we examine the situation of disabled people in England and Wales with regard to one specific aspect of social exclusion—experience of justiciable problems, and the potential effects such problems can have on their lives. Having defined 'disability', we examine how this fits within the wider dialogue on social exclusion issues. By analysing the results of the Legal Services Research Centre's (LSRC) periodic survey of justiciable problems, we find that disabled respondents were not only more likely to experience a problem, they also experienced more problems. Increased likelihood of a problem was observed in the majority of problem categories and particularly those relating to issues of social exclusion, such as housing and welfare benefits. This propensity to experience multiple problems can lead to a negative impact on the lives of long-term ill and disabled people.     

Human nature and economic policy: lessons for the transition economies

Both economic regulation in market economies and state ownership and control of the means of production in socialist economies have been interpreted as means of protecting people from economic exploitation by the owners of capital. In this paper, I argue against this interpretation, suggesting that both sets of institutions are more plausibly viewed as protecting people from destructive competition amongst themselves.     

Cultural pluralism and the future of American unity: the impact of illegal aliens

This paper explores the question of the impact of illegal migration on American unity and cultural pluralism in the US. Assuming that over time the descendants of undocumented workers now in the US will behave substantially like descendants of those who immigrate legally, the long-term impact of illegal migration barely will be noticeable provided it is reduced substantially in the future. The process of acculturation will work in the same way for both groups as it has for other ethnic groups in the past, given comparable levels of education and length of family residence in the US. The author takes special notice of the illegal migration of Spanish-speaking workers and hypothesizes that the behavior of their descendants will not differ from that of the descendants of other immigrants, legal or illegal, in ways that disrupt fundamental patterns of American political unity and cultural pluralism.