Mixed-effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study

Electronic health records are being increasingly used in medical research to answer more relevant and detailed clinical questions; however, they pose new and significant methodological challenges. For instance, observation times are likely correlated with the underlying disease severity: Patients with worse conditions utilise health care more and may have worse biomarker values recorded. Traditional methods for analysing longitudinal data assume independence between observation times and disease severity; yet, with health care data, such assumptions unlikely hold. Through Monte Carlo simulation, we compare different analytical approaches proposed to account for an informative visiting process to assess whether they lead to unbiased results. Furthermore, we formalise a joint model for the observation process and the longitudinal outcome within an extended joint modelling framework. We illustrate our results using data from a pragmatic trial on enhanced care for individuals with chronic kidney disease, and we introduce user-friendly software that can be used to fit the joint model for the observation process and a longitudinal outcome.     

How Does Sustainability Disclosure Drive Behavior Change?

In 2011, as part of the Carbon Disclosure Project (CDP), over 3,700 companies disclosed information about their energy use, emissions, risks, opportunities, and strategy to their institutional investors and customers. In this article, the Chief Innovation Officer of CDP discusses five ways that such disclosure is expected to lead to changes in corporate behavior. The first two are “internal” mechanisms that tend to encourage constructive change more or less directly as a result of going through the process of disclosure. One is known as “WGMGM,” which is shorthand for the often‐cited principle that “what gets measured gets managed.” The second is the tendency of disclosure to bring about valuable changes in strategic thinking. The next two are mechanisms that work to effect change through “external” channels. One relies on the use of data to enable investors, regulators, and other corporate stakeholders to draw comparisons among companies and industries in assessing the value implications of climate change disclosure. The second involves competitor benchmarking and the growing use of data in investment research. Fifth and last, recent evidence suggests that a growing number of investors are willing to raise the bar in terms of the expectations they place on companies to act responsibly now in the face of current and expected future changes. Each of these five change processes are discussed while citing evidence drawn from CDP's long experience of managing the disclosure process and working with both investors and companies to convert data into action.     

Nigerian SMEs: Commitment and loyalty to their banks

Commitment has a crucial role to play in underpinning long-term business relationships, and as such, is well established in the related academic literature. Limited research does, however, exist pertaining to the specific relationships between SMEs and their banks. This paper presents and assesses commitment relationship framework that seeks to evaluate such relationships. Various validated scale-sets from the existing studies are combined here to assess commitment, advocacy and repurchase intention. Data were collected from 199 SMEs via interviews with owners or senior (financial) managers. Their assessment involved exploratory factor analysis to determine underlying data structure, with internal reliability assessment of the identified factors. Commitment is established around two components; affective and calculative, whilst advocacy and repurchase intention converge into a single behavioural intentions factor. The two-dimensional presentation of commitment and behavioural intentions are also distinct. Originality lies in the validation of commitment and behavioural intention constructs within this specific business arena and geographical location, as well as showcasing research that involves engagement with smaller organisations rather than their larger counterparts in the consideration of bank performance.     

Accounting for Net Entry into Greek Manufacturing by Establishments of Varying Size

Adopting the view that size matters in understanding entry (exit) patterns, this research explores the nature and causes of net entry patterns of various size-defined groups of establishments in the case of a less industrialised country – Greece. The hypothesis to be tested is that the determinants of entry are not independent of firm size. Throughout this paper the analysis has had to confront difficulties arising from the use of net entry rates defined at the size class level. The degree of size disaggregation used in this paper is considerably finer than used before. Five employment-defined size classes have been used instead of sliding cut-off points discriminating between small and large firms. Unlike other research using pooled models to explain variation in entry (exit) rates across industries, the data used here are characterised by the absence of significant industry-specific systematic variation. Overall, the results obtained in this paper indicate that there is a gradation in the responses of different size classes to stimuli defined at the industry level. Evidence is offered that small firms are different in that they manage to overcome entry barriers, perhaps adopting different survival strategies, and that large firms are well aware of market conditions and are in an advantageous position to overcome many of the problems imposed by entry barriers. Size classes in the middle of the size class distribution offer a rather mixed result due to size-related advantages and disadvantages.     

Meta programme patterns in accounting educators at a UK business school

The purposes of this study are to compare the results of two alternative methods of eliciting meta programmes, the Motivation Profile Questionnaire (MPQ) and the Language and Behaviour (LAB) Profile semistructured interview, and to identify whether accounting educators exhibit any dominant meta programmes. An individual trained to use the LAB Profile interviewed a sample of 14 accounting educators who then completed the MPQ. The results of the MPQ and the LAB Profile identified three common patterns, indicating a good degree of correlation between the two methods. Identification of the key meta programmes of the accounting educators may have benefits in their teaching and is the precursor to a larger study of the meta programmes of accounting undergraduates, which can now be undertaken in a cost effective way using the MPQ.     

Fundamental‐based Market Strategies

A significant body of literature has raised the possibility that portfolio outperformance based on a simple accounting‐based investment strategy can persist through time because markets may ignore and potentially misinterpret financial market signals. Employing a fundamental‐based strategy, we show that superior performance can be earned consistently through time by identifying and investing in firms with more favourable performance and credit signals. The strength of these portfolios are additionally characterised by the ability of the strategies to avoid firms with poor future prospects. These findings are robust across varying time periods after both transaction costs and related market constraints are considered.     

密西根州的中国机会(英文)

<正>Vision"We will leverage the strengths and assets of Michigan’s automotive industry for sustained intellectual and manufacturing global leadership.Our vision is that every significant entity in the global automotive industry has a strong presence in the State of Michigan"Mission A Mandate from Michigan’s Governor"To implement and execute a comprehensive strategic plan to drive Michigan’s autom     

APPLYING BETA‐TYPE SIZE DISTRIBUTIONS TO HEALTHCARE COST REGRESSIONS

This paper extends the literature on modelling healthcare cost data by applying the generalised beta of the second kind (GB2) distribution to English hospital inpatient cost data. A quasi‐experimental design, estimating models on a sub‐population of the data and evaluating performance on another sub‐population, is used to compare this distribution with its nested and limiting cases. While for these data the beta of the second kind (B2) distribution and generalised gamma (GG) distribution outperform the GB2, our results illustrate that the GB2 can be used as a device for choosing among competing parametric distributions for healthcare cost data. Copyright © 2013 John Wiley & Sons, Ltd.