Rigor is one of the cornerstones of high-quality academic research. For example, the UK Research Assessment Exercise 2008 (RAE) describes the highest grade of research as possessing " quality that is world-leading in terms of originality, significance, and rigour. " 1 This paper addresses the criterion of rigor in the context of so-called practice-based research in design. It is the autho...

medication errors (mes) are the most common error in icus. in fact, 78% of all serious errors in icus are due to mes. therefore, detecting mes has vital significance. the goal of this study was to investigate the frequency, type and consequences of different types of errors including prescribing, transcribing and administration errors in an icu of a large teaching hospital. disguised direct obs...

For model selection in mixed effects models, Vaida and Blanchard (2005) demonstrated that the marginal Akaike information criterion is appropriate as to the questions regarding the population and the conditional Akaike information criterion is appropriate as to the questions regarding the particular clusters in the data. This article shows that the marginal Akaike information criterion is asymp...

Given a random set coming from the imprecise observation of a random variable, we study how to model the information about the distribution of this random variable. Specifically, we investigate whether the information given by the upper and lower probabilities induced by the random set is equivalent to the one given by the class of the distributions of the measurable selections; together with s...

Asymptotic equivalence results for nonparametric regression experiments have always assumed that the variances of the observations are known. In practice, however the variance of each observation is generally considered to be an unknown nuisance parameter. We establish an asymptotic approximation to the nonparametric regression experiment when the value of the variance is an additional paramete...

Asymptotic equivalence results for nonparametric regression experiments have always assumed that the variances of the observations are known. In practice, however the variance of each observation is generally considered to be an unknown nuisance parameter. We establish an asymptotic approximation to the nonparametric regression experiment when the value of the variance is an additional paramete...

     Medication errors (MEs) are the most common error in ICUs. In fact, 78% of all serious errors in ICUs are due to MEs. Therefore, detecting MEs has vital significance. The goal of this study was to investigate the frequency, type and consequences of different types of errors including prescribing, transcribing and administration errors in an ICU of a large teaching hospital. Disguised direc...

This paper reports our recent efforts to develop a uni£ed, non-linear, stochastic model for estimating and removing the effects of additive noise on speech cepstra. The complete system consists of prior models for speech and noise, an observation model, and an inference algorithm. The observation model quanti£es the relationship between clean speech, noise, and the noisy observation. Since it i...