Despite recent advances, very-high-throughput (VHT) technologies capable of genotyping hundreds of thousands of SNPs in individual samples remain prohibitively expensive for the large studies necessary to screen substantial sections of the genome for variants with modest effects on disease risk. This paper presents a two-stage strategy, where a portion of available samples are genotyped with VH...

Voxel-based lesion-symptom mapping (VLSM) is an important method for basic and translational human neuroscience research. VLSM leverages modern neuroimaging analysis techniques to build on the classic approach of examining the relationship between location of brain damage and cognitive deficits. Testing an association between deficit severity and lesion status in each voxel involves very many i...

The more statistical tests we perform, the more likely we are to reject the null hypothesis when it is true (i.e., a “false alarm,” also called a “Type 1” error). This is a consequence of the logic of hypothesis testing: We reject the null hypothesis for rare events, and the larger the number of tests, the easier it is to find rare events which are false alarms. This problem is called the infla...

Gene expression array technology has reached the stage of being routinely used to study clinical samples in search of diagnostic and prognostic biomarkers. Due to the nature of array experiments, which examine the expression of tens of thousands of genes simultaneously, the number of null hypotheses is large. Hence, multiple testing correction is often necessary to control the number of false p...

We investigate the impact of decisions in the second-level (i.e., over subjects) inferential process in functional magnetic resonance imaging on (1) the balance between false positives and false negatives and on (2) the data-analytical stability, both proxies for the reproducibility of results. Second-level analysis based on a mass univariate approach typically consists of 3 phases. First, one ...

In this paper, a voice activity detection (VAD) method is proposed based on Gaussian mixture models (GMMs) by exploiting the spatial selectivity in dual-microphone environments. In other words, each GMM is constructed according to the direction-ofarrival (DOA) to detect speech intervals. Based on the assumption that the target speech is located in front of dual-microphones, the VAD is performed...

Dried blood spot (DBS) microsampling is extensively employed in newborn screening (NBS) and neonatal studies. However, the impact of variable hematocrit (Ht) values on results can be a source analytical error, use fixed Ht for calibration (Htcal) not representative all subpopulations. A computational approach based demographics was developed implemented R® language to propose strategy using cor...

The authors describe and analyse their experience gained in performing prosthetic repair of the thoracoabdominal portion of the aorta, combined with open aortic stenting using the Djumbodis uncovered metal stent. Over the period from 2013 to 2015 we performed a total of 16 hybrid interventions. All patients were found to have type B aortic dissection, with their false and true lumens patent. Al...

OBJECTIVE To validate previously computed correction factors for free β-human chorionic gonadotrophin (fβ-hCG) and pregnancy-associated plasma protein-A (PAPP-A) in in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) pregnancies with hormone treatment and to determine the effect on false-positive rate (FPR). METHODS Retrospective study on 249 IVF and 250 ICSI cases and 20...

This paper addresses the problem of real-word spell checking, i.e., the detection and correction of typos that result in real words of the target language. This paper proposes a methodology based on a mixed trigrams language model. The model has been implemented, trained, and tested with data from the Penn Treebank. The approach has been evaluated in terms of hit rate, false positive rate, and ...