Utilizing Bayesian predictive power in clinical trial design

The Bayesian paradigm provides an ideal platform to update uncertainties and carry them over into the future in the presence of data. Bayesian predictive power (BPP) reflects our belief in the eventual success of a clinical trial to meet its goals. In this paper we derive mathematical expressions for the most common types of outcomes, to make the BPP accessible to practitioners, facilitate fast computations in adaptive trial design simulations that use interim futility monitoring, and propose an organized BPP-based phase II-to-phase III design framework.     

Narrating Sustainability in Canadian Health Care Reform Discourse

In Canada, as in other industrialized welfare states, definitions of health system sustainability reflect different goals and correspondingly diverse ways of understanding exactly what is to be sustained and how. In this article, we report on results from a survey of documents and groups involved in and/or concerned about sustainability of the healthcare system. We identify four broad narratives of sustainability in Canadian healthcare reform discourse, and explore what these different sustainability narratives tell us about the character and contours of these often‐fractious debates. We argue that sustainability itself may not be a paradigm shift, as has been suggested, but a plot device that helps to steer the story in a particular direction, ‘black‐boxing’ certain aspects of context and emphasizing others.     

Collaborative evaluation of a high school prevention curriculum: How methods of collaborative evaluation enhanced a randomized control trial to inform program improvement

Blending high-quality and rigorous research with pure evaluation practice can often be best accomplished through thoughtful collaboration. The evaluation of a high school drug prevention program (All Stars Senior) is an example of how perceived competing purposes and methodologies can coexist to investigate formative and summative outcome variables that can be used for program improvement. Throughout this project there were many examples of client learning from evaluator and evaluator learning from client. This article presents convincing evidence that collaborative evaluation can improve the design, implementation, and findings of the randomized control trial. Throughout this paper, we discuss many examples of good science, good evaluation, and other practical benefits of practicing collaborative evaluation. Ultimately, the authors created the term pre-formative evaluation to describe the period prior to data collection and before program implementation, when collaborative evaluation can inform program improvement.     

Decomposing primary and secondary effects: A new decomposition method

One strand of educational inequality research aims at decomposing the effect of social class origin on educational choices into primary and secondary effects. We formalize this distinction and present a new and simple method that allows empirical assessment of the relative magnitudes of primary and secondary effects. Contrary to other decomposition methods, this new method is unbiased, is more intuitive, and decomposes effects of both discrete and continuous measures of social origin. The method also provides analytically derived statistical tests and is easily calculated with standard statistical software. We give examples using the Danish Longitudinal Survey of Youth.     

冒险成就的电信巨头

从任何一个角度看,全球无线手机通讯行业都在快速逼近危机的边缘。全世界已经有50多个国家的手机用户数量超过其实际人口数量。即使是在工业化国家中手机人均拥有率较低的美国,在用的手机数量也超过了2.7亿部（市场渗透率接近于90％）。今天,随着无线通讯市场的日益萎缩,     

Role of motives and attributes in consumer motion picture choice

The study focuses on consumer motion picture motives and choice criteria. Its purpose can be specified into the following objectives: (1) to examine the motivational basis of cinema attending. (2) to examine the predictive ability of movie motives and consumers' attribute importances in preference regressions of four types of movie, (3) to carry out a motion picture choice analysis by predicting audience membership with discriminant analysis. The data is based on a convinience sample of Finnish consumers (N = 228) attending one of the following types of movie: adventures/ thrillers, human/ social dramas, sex movies, entertainment movies.The results of a group of multivariate analyses (factor analysis, canonical correlation, preference regression, and discriminant analysis) indicate that consumers attending different types of films have distinctly separate motivation bases, as well as attribute importance profiles, underlying their movie choices. Each movie type had a specific preference structure, expressed by the regression coefficients. Finally, the discriminant analysis suggests that the general motive and attribute variables are effective also in predicting motion picture choice. On balance, the results were mutually supportive and exemplify the managerial usefulness of quantitative consumer analysis also in the case of such abstract leisure products as motion pictures.     

Soft cultures: the symbolism of cross-border organizing 1

It is not always true that the concept of culture implies a convergence on one meaning, one set of values, one pattern of behaviour. This paper develops the notion of soft culture. Cultures are soft in the sense that multiple renderings of reality are accepted and legitimized. Soft culture is studied in the context of cross-national technology development projects. Such projects are loosely structured communities, as organizational actors are separated in time and space. The paper demonstrates how symbols work among those actors. In addition to the traditional uses of symbolic categorizing, in soft culture the symbols also play an important role in attracting more networks to the action and licensing a wide variety of exploratory activities. These equivocal characteristics of symbols should be considered a strength in face of overwhelming uncertainty since they allow actors to construct multiple futures and pursue them.     

The accuracy of normal approximation in a heterogeneous panel data unit root test

Tests for unit roots in panel data have become very popular. Two attractive features of panel data unit root tests are the increased power compared to time-series tests, and the often well-behaved limiting distributions of the tests. In this paper we apply Monte Carlo simulations to investigate how well the normal approximation works for a heterogeneous panel data unit root test when there are only a few cross sections in the sample. We find that the normal approximation, which should be valid for large numbers of cross-sectional units, works well, at conventional significance levels, even when the number of cross sections is as small as two. This finding is valuable for the applied researcher since critical values will be easy to obtain and p-values will be readily available.     

Characteristics of men and women who complete or exit from an on-line internet sexuality questionnaire: a study of instrument dropout biases

This study compared respondents who completed an Internet sexuality questionnaire and those who dropped out before completion. The study was in Swedish and comprised 3,614 respondents over a 2-week period (53% males, 47% females). There were significant differences between males, of whom 51% dropped out before completion of the 175-item questionnaire, and females, of whom 43% dropped out. Dropout in both genders followed a curve of negative acceleration. The data suggest that dropout is likely to be significant and gender and demographically biased, and to occur significantly earlier for men than for women. Geography, education, sexual orientation, age, relationship status, living arrangements, and Internet connection speed were related to dropout for men, while only relationship status and living arrangements, which were in the opposite direction from men, were related to dropout in women.     

A micro analysis of the macro differences in refusal risk among metropolitan areas. The case of the Italian multipurpose survey

Although still modest, non response rates in multipurpose household surveys have recently increased, especially in some metropolitan areas. Previous analyses have shown that refusal risk depends on the interviewers' characteristics. The aim of this paper is to explain the difference in refusal risk among metropolitan areas by analysing the strategies adopted in the recruitment of interviewers through a multilevel approach. The Annual Survey on Living conditions is a PAPI survey of the "Multipurpose" integrated system of social surveys and it represents our data base. For non responding household, data on non response by reason, municipality and characteristics of the interviewer are available. The results highlight that those cities recruiting interviewers mainly among young students have a higher refusal risk. These results are particularly important as they indicate that recruitment strategies may have a substantial impact on non sampling errors. Acknowledgements An earlier version of this article was presented at the International Conference on Improving Survey, University of Copenhagen, Denmark, August 25-28, 2002. We would like to thank the participants to the presentation for their useful comments and suggestions. Opinions expressed are those of the authors and do not necessarily represent the official position of any of the institutions they work for.