Diagnostic Plots for Assessing the Frailty Distribution in Multivariate Survival Data

In biomedical studies, frailty models arecommonly used in analyzing multivariate survival data, wherethe objective of the study is to estimate both the covariateeffect and the dependence between the multivariate survival times.However, inference based on these models are dependent on thedistributional assumption of frailty. We propose a diagnosticplot for assessing the frailty assumption. The proposed methodis based on the cross-ratio function and the diagnostic plotsuggested by Oakes (1989). We use kernel regression smoothingwith bandwidth choice by cross-validation, to obtain the proposedplot. The resulting plot is capable of differentiating betweenthe gamma and positive stable frailty models when strong associationis present. We illustrate the feasibility of our method usingsimulation studies under known frailty distributions. The approachis applied to data on blindness for each eye of diabetic patientswith adult onset diabetes and a reasonable fit to the gamma frailtymodel is found.     

Operations Management Opportunities in Technology Commercialization and Entrepreneurship

The field of Production and Operations Management (POM) is increasingly perceived as a rigorous but narrow field, antiquated and not very relevant to the current challenges and concerns of managers in job‐creating growth companies vital to our economies. I argue that a narrower positioning of POM in the past is responsible for its perceived limited utility to growth firms and global economies. POM at its core is about “doing more with less,” which is very well aligned with the context and needs of resource‐constrained entrepreneurial companies. My discussion is focused on how the research paradigm of POM is and can be relevant to meeting the emerging challenges of growth companies of tomorrow. Specifically, I examine how POM can help meet the needs of these organizations to become scalable and sustainable. The objective is to stimulate thought and discussion and encourage early‐stage POM scholars to seriously consider the contexts of technology commercialization, entrepreneurship, and growth companies as avenues for future research.     

On Decisions for Integration Implementation: An Examination of Complementarities Between Product‐Process Technology Integration and Supply Chain Integration

Research has shown that both product‐process technology (PPT) integration and supply chain integration efforts produce operational benefits, yet synergies between these types of integration are not well understood. This article empirically examines strategic customer integration and supplier integration as complementary activities for PPT integration, with the aim of helping manufacturing plant managers to intelligently implement mutually supportive types of integration. We set two conditions for establishing complementarity: (i) one type of strategic integration must positively influence the adoption of another and (ii) the two types of strategic integration must exhibit a synergistic fit with respect to manufacturing plant capabilities. We test these conditions using survey results representing 224 manufacturing plants. The findings show positive complementarities between PPT integration and supplier integration with respect to quality, delivery, and process flexibility. Also, positive complementarities exist between PPT integration and customer integration with respect to quality and new product flexibility. The results extend the emerging theory of strategic value chain integration and provide guidance to manufacturing managers who wish to assemble strategic integration policies.     

A study of the properties of Gaussian mixture model for stable isotope standard quantification in MALDI-TOF MS

The quantification of peptides in Matrix assisted laser desorption/ionization time-of-flight mass spectrum analysis coupled with stable isotope standards has been used to quantify native peptides under many experimental conditions. This approach has difficulties quantifying samples containing peptides with ion currents in overlapping (convolved) spectra. In a previous article we proposed a reparametrized Gaussian mixture model based on the known characteristics of the peptides that could also accommodate overlapping spectra. We demonstrated the application of our model in a series of single and overlapping peptides quantification experiments. Here, we focus solely on studying the properties of our approach and examine the characteristics of the GMM approach in convolved peptides using simulated spectra and provide a method for simulating these spectra.     

Intercultural teaching competence: a multi-disciplinary model for instructor reflection

Abstract

This article presents a model for Intercultural Teaching Competence (ITC) that instructors may use as a tool for reflection as they prepare to facilitate learning across cultures. Building on previous research on intercultural competence, culturally relevant teaching, intercultural trainer competencies, and student-centred approaches to teaching, the model identifies concrete facilitation techniques for instructors who would like to further develop their own teaching practice or mentor colleagues in effective teaching across cultures. The model consists of 20 instructor competencies grouped into three categories: foundational skills, facilitation skills, and curriculum development skills for intercultural learning. While intended as a tool to guide instructors in individual and group reflection on inclusive teaching practices, the ITC model may also be used by educational developers to guide feedback during classroom observations or while supporting curriculum internationalisation initiatives. Recommendations for use in faculty learning communities and workshops are included at the end of the article. The ITC model will benefit instructors in a variety of disciplines who teach in diverse and multidisciplinary classrooms, discuss global or social justice issues in their class, and those who seek to include intercultural and Indigenous perspectives in their curriculum.     

What Characterises Women Vulnerable to Chronic Energy Deficiency?

Weight-for-squared height or body mass index (BMI) is often considered as an effective predictor of morbidity and mortality rates. This study uses BMI data from a sample of ever-married women in the age group of 15–49 years in the North Indian state of Uttar Pradesh for the year 1998–1999, to analyse the determinants of chronic energy deficiency (CED) and estimate the population vulnerable to CED. The results highlight that CED rates and vulnerability rates can be very different, emphasizing need for policy intervention to focus on ‘potential’ CED persons. The characteristics of vulnerable population identified would be appropriate channels for policy intervention.

Variations in Women’s Heights across Social and Religious Groups Among Indian States

This paper uses the Indian National Family Health Survey data for the year 2005–2006 to draw comparisons of height among adult women across regions for minority groups like caste and religion. Inter-personal, regional and temporal comparisons are easier and effective using a non-monetary indicator of well-being like height which is also an indicator of long term nutritional status. The results of this study show that Muslim women have significant height advantage but with substantial variations across Indian states. Compared to Hindu women, differences in mean heights are lower across wealth quintiles and levels of educational attainment among Muslim women. Child birth during teens affects the final heights attained but only for the Hindus wherein this difference disappears after education level of the woman is controlled for, indicating that schooling delays early childbirth. The quantile regression model shows that Muslim women are taller than Hindu women across bottom, middle and top quartiles after controlling for other factors and that the gap increases over the quartiles.