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.     

Fitting competing risks data to bivariate Pareto models

This paper revisits two bivariate Pareto models for fitting competing risks data. The first model is the Frank copula model, and the second one is a bivariate Pareto model introduced by Sankaran and Nair (1993 Sankaran, P. G., and N. U. Nair. 1993. A bivariate Pareto model and its applications to reliability. Naval Research Logistics 40 (7):1013–1020. doi:10.1002/1520-6750(199312)40:7%3c1013::AID-NAV3220400711%3e3.0.CO;2-7.[Crossref], [Web of Science ®] , [Google Scholar]). We discuss the identifiability issues of these models and develop the maximum likelihood estimation procedures including their computational algorithms and model-diagnostic procedures. Simulations are conducted to examine the performance of the maximum likelihood estimation. Real data are analyzed for illustration.     

The dynamics of local and interactive effects on innovation adoption: The case of electronic commerce

Innovation adoption is determined not only by the opportunities and constraints resulting from organizations’ characteristics (local effects), but also by reaction to the adoption of their interdependent and referable others (interactive effects). This study examines the dynamics of innovation adoption by considering both local and interactive effects in early adopters relative to later adopters, and then investigates the electronic commerce adoption as an empirical example. Analysis results show that the crucial stimulating effects in the early market are focused on the nature of innovations, while those in the later market are concentrated on the practical implementation issues of innovations.     

Foot-and-Mouth Disease Entrance Assessment Model Through Air Passenger Violations

This article aims to construct a risk model for the prediction of foot-and-mouth disease (FMD) entrance caused by passengers who illegally carry meat products of cloven-hoofed animals through international airports into a country. The risk that meat contaminated with the FMD virus is formulated as the probabilities of FMD factor events (the prevalence of FMD), the commodity factor event (the transportation, storage, and distribution (TSD) factor event), and the passenger event. Data used for analysis were records of illegal meat product carriers from areas A and B intercepted at an international airport in Taiwan. A risk model was proposed to simulate the probability distributions in disease prevalence, probability of FMD virus existing in the meat products after meat processing, and estimation of survival of virus and time period for TSD. The probability of the passenger event was hypothesized with the odds of intercepted passengers and estimated via logistic regression. The results showed that the odds of passengers being intercepted by beagles were higher than those intercepted by Customs. By conducting Monte Carlo simulations, the probability of FMD virus risk caused by FMD factors from area A was 149 times lower than that from area B. The probability of FMD virus risk caused by the passenger event from area A was four times lower than the corresponding probability from area B. The model provides a contribution to FMD prevention and can be a reference for developing models of other diseases.     

Unifying CRM and EWOC designs for phase I cancer clinical trials

The main goal of phase I cancer clinical trials is to determine the highest dose of a new therapy associated with an acceptable level of toxicity for the use in a subsequent phase II trial. The continual reassessment method (CRM) [O’Quigley, J., Pepe, M., Fisher, L., 1990. Continual reassessment method: a practical design for phase I clinical trials in cancer. Biometrics 46, 33–48] and escalation with overdose control (EWOC) [Babb, J., Rogatko, A., Zacks, S., 1998. Cancer phase I clinical trials: efficient dose escalation with overdose control. Statist. Med. 17 (10), 1103–1120] are two model-based designs used for phase I cancer clinical trials. A few modifications of the (original) CRM and EWOC have been made by many authors. In this paper, we show how CRM and EWOC can be unified and present a hybrid design. We study the characteristics of the approach of the hybrid design. The comparisons of the three designs (CRM, EWOC, and the hybrid design) are presented by convergence rates and overdose proportions. The simulation results show that the hybrid design generally has faster convergence rates than EWOC and smaller overdose proportions than CRM, especially when the true maximum tolerated dose (MTD) is above the mid-level of the dose range considered. The performance of these three designs is also evaluated in terms of sensitivity to outliers.     

Hedging Barrier Options in GARCH Models with Transaction Costs

This study proposes a modified strike‐spread method for hedging barrier options in generalized autoregressive conditional heteroskedasticity (GARCH) models with transaction costs. A simulation study was conducted to investigate the hedging performance of the proposed method in comparison with several well‐known static methods for hedging barrier options. An accurate, easy‐to‐implement and fast scheme for generating the first passage time under the GARCH framework which enhances the accuracy and efficiency of the simulation is also proposed. Simulation results and an empirical study using real data indicate that the proposed approach has a promising performance for hedging barrier options in GARCH models when transaction costs are taken into consideration.     

Negotiating Density and Financing Public Goods in Vancouver and New Taipei City: A Development Rights Perspective

ABSTRACT

This article examines two density-based value-capture mechanisms – community amenity contributions (CAC) in Vancouver, Canada, and transfer of development rights (TDR) in New Taipei City, Taiwan – that planners use to finance public goods. To understand the differences in the design of the mechanisms, negotiating dynamics, actors involved, and types of public goods financed, we propose three perspectives on development rights: absolute ownership, bundle of rights, and public asset. We find that the public asset perspective underpins Vancouver’s CAC, whereas in New Taipei City’s TDR development rights are treated more as a commodity, a concept rooted in the absolute ownership perspective.     

初期瑜伽行派之止观要义——"七觉分"的完满开展

本文依《解深密经.分别瑜伽品》中的止观要义而作诠释分析。毘钵舍那与奢摩他有共通性与差异性。共通性在于,两者都能因专注于所缘境而得三昧,证身心轻安;差异性则在于对此所缘境的有分别作意与无分别作意。禅者不但要修止,也要修观。修止可以得定,也可以打下修观的基础。慧证来自修观,必须修观方能得慧。但倘若没有修止工夫,那么观力是十分微弱的,无法达到对法(实相)的胜解(印证)。反之,倘若行者不先行于十二分教闻思熏修,系念法义,而只是一味锁定所缘境而修止,那么即使止成就而映现定中影像,依然无法印证实相。初期瑜伽行派的禅观学理,还是十足的定慧综合修行观,从头到尾紧扣佛陀的十二分教,作为修习止观的基础。若配合《瑜伽师地论》声闻地以观,这可区分出四种所缘境事:以契经的蕴、处、缘起等相应教,作为善巧所缘的范畴;当然还可依于对治麤重烦恼的需要而修净行所缘;修止不脱此诸范畴,是为事边际所缘境事,修观亦然;因圆而果满,止观成就的境地,就是所作成办所缘境事。这正是不共世间的出世道净惑所缘境事。这完全符应《杂阿含经》中定慧综合的禅观教学,也是七觉分的完满开展。     

On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the D-Value

Abstract

Personalized medicine asks if a new treatment will help a particular patient, rather than if it improves the average response in a population. Without a causal model to distinguish these questions, interpretational mistakes arise. These mistakes are seen in an article by Demidenko that recommends the “D-value,” which is the probability that a randomly chosen person from the new-treatment group has a higher value for the outcome than a randomly chosen person from the control-treatment group. The abstract states “The D-value has a clear interpretation as the proportion of patients who get worse after the treatment” with similar assertions appearing later. We show these statements are incorrect because they require assumptions about the potential outcomes which are neither testable in randomized experiments nor plausible in general. The D-value will not equal the proportion of patients who get worse after treatment if (as expected) those outcomes are correlated. Independence of potential outcomes is unrealistic and eliminates any personalized treatment effects; with dependence, the D-value can even imply treatment is better than control even though most patients are harmed by the treatment. Thus, D-values are misleading for personalized medicine. To prevent misunderstandings, we advise incorporating causal models into basic statistics education.