For cost-effectiveness and efficiency, many large-scale general-purpose cohort studies are being assembled within large health-care providers who use electronic health records. Two key features of such data are that incident disease is interval-censored between irregular visits and there can be pre-existing (prevalent) disease. Because prevalent disease is not always immediately diagnosed, some...

It is extremely difficult to predict the initiation time of cracking due to a large time spread in most cracking experiments. Thus, probabilistic models, such as the Weibull distribution, are usually employed to model the initiation time of cracking. Therefore, the parameters of the Weibull distribution are estimated from data collected from a cracking test. However, although the development of...

In this paper we present the Stata package stgenreg for the parametric analysis of survival data. Any user-defined hazard function can be specified, with the model estimated using maximum likelihood utilising numerical quadrature. Models that can be fitted range from the Weibull proportional hazards model to the generalized gamma model, mixture models, cure rate models, accelerated failure time...

Wireless Mesh Networks (WMN) have emerged as a potential technology to quickly deploy a wireless infrastructure that is selfhealing, self-configured, and self-organized. This report makes an introduction to WMNs, their protocols and some existing deployments. Then the problem of monitoring the operation of these networks, is addressed by making a brief survey on some relevant network monitoring...

Currently, among renewable distributed generation systems, wind generators are receiving a great deal of interest due to the great economic, technological, and environmental incentives they involve. However, the uncertainties due to the intermittent nature of wind energy make it difficult to operate electrical power systems optimally and make decisions that satisfy the needs of all the stakehol...

BACKGROUND AND PURPOSE Although the number of enhancing lesions is the typical outcome measure of choice in clinical trials in MS, a potentially more sensitive and statistically more powerful outcome measure is the volume of enhancing lesions. In this study, we assessed the distribution and statistical power of the volume of enhancing brain lesions as an outcome measure by means of their requir...