Moment estimators of defect pattern frequencies,allowing for inspection error

Unbiased estimators of the number of individuals in a lot possessing various patterns of types of defects are constructed. Explicit formulas are given for cases of two and three types of defect. Application of the formulas requires knowledge of the probabilities of various kinds of errors in the inspection process.     

Combining Univariate Tests for Multivariate Location Problem

In this article, three methods of combining dependent univariate tests are studied. The Bahadur approximate efficiencies are derived under the asymptotic normal assumption. These procedures are applied to the multivariate location problem and compared with two Hotelling-type tests. A Monte Carlo study indicates that in certain cases the powers of the combination methods are much better than Hotelling's T ² and other multivariate nonparametric tests.     

Education and religion: Individual, congregational, and cross-level interaction effects on biblical literalism

Using ideas from cultural and organizational theory, I examine the interplay of individual and congregation-level educational attainment on biblical literalism. Data on 387 congregations and 100,009 worshippers (US Congregational Life Survey, 2001) are used to test hypotheses. Results indicate that the effects of congregational education and individual educational attainment are among the largest effects in models. This study is the first to show that regardless of an individual’s own education, affirmations of biblical literalism are less likely when persons with higher education dominate a congregation. This finding brings into relief the important role of social context in persons’ belief in biblical literalism. Additionally, congregational education amplifies the influence of individual education on biblical literalism such that the gap in belief between college/non-college education individuals widens in high education congregations. This finding suggests that high education persons more deeply absorb the influence of a more educated congregational context.     

Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods

ABSTRACT

The optimal learner for prediction modeling varies depending on the underlying data-generating distribution. Super Learner (SL) is a generic ensemble learning algorithm that uses cross-validation to select among a ‘library’ of candidate prediction models. While SL has been widely studied in a number of settings, it has not been thoroughly evaluated in large electronic healthcare databases that are common in pharmacoepidemiology and comparative effectiveness research. In this study, we applied and evaluated the performance of SL in its ability to predict the propensity score (PS), the conditional probability of treatment assignment given baseline covariates, using three electronic healthcare databases. We considered a library of algorithms that consisted of both nonparametric and parametric models. We also proposed a novel strategy for prediction modeling that combines SL with the high-dimensional propensity score (hdPS) variable selection algorithm. Predictive performance was assessed using three metrics: the negative log-likelihood, area under the curve (AUC), and time complexity. Results showed that the best individual algorithm, in terms of predictive performance, varied across datasets. The SL was able to adapt to the given dataset and optimize predictive performance relative to any individual learner. Combining the SL with the hdPS was the most consistent prediction method and may be promising for PS estimation and prediction modeling in electronic healthcare databases.     

Getting your supervisors and managers on the right team

They do a great job. So we promote them. Now they supervise people who don't do the job as well as they did. We give them a big raise. But because they're exempt they make less than their leads. They have the toughest job in the company—managing people. So we grant them an entire day of training to prepare. We ask them to mentor, coach, and have close relationships with their direct reports—all 132 of them. Then when the stock dips, we blame “middle management” and lay a bunch of them off.     

Perceived effectiveness and implementation of public relations measurement and evaluation tools among European providers and consumers of PR services

While the need for and lack of implementation of more sophisticated methods for measuring the impact of public relations efforts has been well documented in the U.S. and some other world regions, relatively little information exist about this practice in the European Union. Results from a survey of both consumers and providers of public relations in the EU shows that perceptions of effectiveness and actual use are not related for most advanced techniques of measurement and evaluation. These results demonstrate some potentially important differences between the perceptions of providers and consumers that may support practitioner observations regarding a lack of interest among clients in more accurate assessment of results from public relations activities.