Estimation of dependence between paired correlated failure times in the presence of covariate measurement error

Summary. In many biomedical studies, covariates are subject to measurement error. Although it is well known that the regression coefficients estimators can be substantially biased if the measurement error is not accommodated, there has been little study of the effect of covariate measurement error on the estimation of the dependence between bivariate failure times. We show that the dependence parameter estimator in the Clayton–Oakes model can be considerably biased if the measurement error in the covariate is not accommodated. In contrast with the typical bias towards the null for marginal regression coefficients, the dependence parameter can be biased in either direction. We introduce a bias reduction technique for the bivariate survival function in copula models while assuming an additive measurement error model and replicated measurement for the covariates, and we study the large and small sample properties of the dependence parameter estimator proposed.     

Chinese version of the OSI: A validation study

This article examines the construct validity of the Occupational Stress Indicator (OSI) in its Chinese version as well as its criterion-oriented validity against self-reported data on absenteeism and accidents, using a final sample of 1054 workers in the Chinese manufacturing and power industries. The divergent and convergent validities of five of the OSI scales—Job satisfaction, Physical ill-health, Mental ill-health, Type A behaviour and Control—were examined by a multimethod-multitrait matrix technique. Results indicated that the Chinese OSI had fairly good validity in relation to other well-established measures as well as relevant organizational behaviours.     

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.     

NGO Strategies in an Authoritarian Context,and Their Implications for Citizenship: The Case of the People’s Republic of China

This study argues that different cities in China have different resource environments available for NGOs. Organizations react to these resource environments by constructing appropriate resource strategies, which in turn shape the characteristics and structures of the NGOs of that city. It further examines how these characteristics and structures influence the construction and performance of citizenship in an authoritarian environment. Specifically, some types of NGOs encourage Chinese citizens to be passive, while others offer a model for people to actively engage with social issues. This is aptly demonstrated in an analysis of NGOs operating across four cities—Beijing, Shanghai, Kunming, and Nanjing—which reveals three different types of resource environments and behavioral models for NGOs. We subsequently discuss the implications of each model for citizen engagement.     

The gender wage gap,weather, and intimate partner violence

Review of Economics of the Household - Two theories of intimate partner violence (IPV) have differing predictions on how women’s bargaining power affects rates of IPV. If an abuser enjoys and...     

An integrated system of engaging social workers and community volunteers in social care for the elderly: case studies in Taiwan

Integrating volunteers into social care is widely expected but rarely successful in practice. This paper discusses how the Community Care Centre Plan organising community volunteers to provide services to the elderly in Taiwan. This plan successfully integrated social workers and volunteers in a national system to offer service in local communities, showing a systemic practice of community care and a unique case of community-based and volunteer-based service. The purposes of this paper are to introduce the programme design and to understand how to integrate the mission of social workers and volunteers’ performance. The governmental policy and requirements, the role of social workers and the provision of voluntary community service which contributed to form the system were examined in this paper.     

The Alliance Experience Transfer Effect: The Case of Industry Convergence in the Telecommunications Equipment Industry

A central premise of the industry change literature is that firms change their strategic actions when an industry changes. Industry convergence (IC), the blending of boundaries between industries creating competition among firms that previously did not compete, is increasingly impacting many industries and is a salient case of industry change. Acquisitions are an important action shaping the course of IC because they trigger imitation and bandwagon effects further accelerating IC. This paper focuses on why and when learning from alliances reduces uncertainty resulting in acquisitions during IC: an ‘alliance experience transfer effect’. We demonstrate the utility of this mechanism for the substitution‐based form of IC that occurred between the telecommunications equipment and computer networking industries. Our key insight is that when the extent of IC is low there are significant transfer effects but, as the extent of IC increases, firms have access to an expanding volume and diversity of information sources that reduce uncertainty, thus weakening the transfer effect mechanism. We contribute to the alliance–acquisition relationship and learning literatures by demonstrating that the alliance experience transfer effect mechanism explains changes in firm strategic action (alliancing and acquiring) as the extent of IC changes. We also introduce a semi‐convergence perspective by directly measuring the extent of IC.     

The Methuselah Effect: The Pernicious Impact of Unreported Deaths on Old-Age Mortality Estimates

We examine inferences about old-age mortality that arise when researchers use survey data matched to death records. We show that even small rates of failure to match respondents can lead to substantial bias in the measurement of mortality rates at older ages. This type of measurement error is consequential for three strands in the demographic literature: (1) the deceleration in mortality rates at old ages; (2) the black-white mortality crossover; and (3) the relatively low rate of old-age mortality among Hispanics, often called the “Hispanic paradox.” Using the National Longitudinal Survey of Older Men matched to death records in both the U.S. Vital Statistics system and the Social Security Death Index, we demonstrate that even small rates of missing mortality matching plausibly lead to an appearance of mortality deceleration when none exists and can generate a spurious black-white mortality crossover. We confirm these findings using data from the National Health Interview Survey matched to the U.S. Vital Statistics system, a data set known as the “gold standard” (Cowper et al. 2002) for estimating age-specific mortality. Moreover, with these data, we show that the Hispanic paradox is also plausibly explained by a similar undercount.