Computational methods have been used in the past to generate large libraries of hypothetical zeolite structures, but to date analysis of these structures has typically been limited to relatively simple physical properties such as density. We use efficient methods to analyze the adsorption and diffusion properties of simple adsorbate molecules in a library of >250,000 hypothetical silica zeolite...

BACKGROUND Infection with Leptospira may occur by contact with Leptospira-infected animals. Waste pickers are in contact with rodents and dogs while picking in the garbage. Whether waste pickers are at risk for Leptospira infection is largely unknown. This study was aimed to determine the association of Leptospira IgG seroprevalence with the occupation of waste picking, and to determine the epi...

The generalization of linear classifiers is considered for training sample sizes smaller than the feature size. It is shown that there exists a good linear classifier, that is better than the Nearest Mean classifier for sample sizes for which Fisher’s linear discriminant cannot be used. The use and performance of this small sample size classifier is illustrated by some examples.

Numerous effective medium models have been proposed for the effective optical properties of nanoporous media. However, validations of these models against experimental data are often contradictory and inconclusive. This issue was numerically investigated by solving the twodimensional Maxwell’s equations in non-absorbing nanoporous thin films with various morphologies. It was found that below a ...

Classification studies with high-dimensional measurements and relatively small sample sizes are increasingly common. Prospective analysis of the role of sample sizes in the performance of such studies is important for study design and interpretation of results, but the complexity of typical pattern discovery methods makes this problem challenging. The approach developed here combines Monte Carl...

Background Clustering often occurs in individually randomised trials and is sometimes ignored when calculating sample sizes. Examples include practitioner effects in individually randomised trials with more than one practitioner or therapist effects from group interventions where clustering may be in one arm only. Additional levels of clustering may also occur in cluster randomised trials and e...

BACKGROUND Most surveys that assess the iodine status of populations target school-age children, whereas others may target nonpregnant women with the assumption that the iodine status of these groups is representative of other groups in the same population. OBJECTIVE To assess whether the median urinary iodine concentration (UIC) of school-age children or nonpregnant women can be used to accu...

BACKGROUND Stepped wedge trials (SWTs) can be considered as a variant of a clustered randomised trial, although in many ways they embed additional complications from the point of view of statistical design and analysis. While the literature is rich for standard parallel or clustered randomised clinical trials (CRTs), it is much less so for SWTs. The specific features of SWTs need to be addresse...

Genome-wide association studies have successfully identified hundreds of novel genetic variants associated with many complex human diseases. However, there is a lack of rigorous work on evaluating the statistical power for identifying these variants. In this paper, we consider sparse signal identification in genome-wide association studies and present two analytical frameworks for detailed anal...

We study the properties of gene genealogies for large samples using a continuous approximation introduced by R. A. Fisher. We show that the major effect of large sample size, relative to the effective size of the population, is to increase the proportion of polymorphisms at which the mutant type is found in a single copy in the sample. We derive analytical expressions for the expected number of...