Results 51 to 60 of about 1,045,644 (311)

MERCURY IN THE SEDIMENT OF PELOTAS RIVER BASIN, BRAZIL [PDF]

Engenharia Agrícola, 2018
Many studies have determined the concentration of trace elements in river sediments in Brazil. Notwithstanding, mercury assessments are scarce, especially because of exclusive extraction techniques and expensive analysis techniques.
Marcelo B. Remor, Silvio C. Sampaio, Kathleen J. Model, Thais D. Falco, Victor H. R. Prudente   +4 more
doaj   +1 more source

Multi-tract multi-symptom relationships in pediatric concussion

eLife, 2022
Background: The heterogeneity of white matter damage and symptoms in concussion has been identified as a major obstacle to therapeutic innovation. In contrast, most diffusion MRI (dMRI) studies on concussion have traditionally relied on group-comparison ...
Guido I Guberman, Sonja Stojanovski, Eman Nishat, Alain Ptito, Danilo Bzdok, Anne L Wheeler, Maxime Descoteaux   +6 more
doaj   +1 more source

A Comparison of Different Statistics for Detecting Multiplicative Faults in Multivariate Statistics-Based Fault Detection Approaches

IEEE Access, 2018
The explosion of different fault detection (FD) statistics in multivariate statistics-based FD approaches has meant that the practitioner is faced with the unenviable job of determining which to use in a given circumstance.
Kai Zhang, Kaixiang Peng, Yuri A. W. Shardt   +2 more
doaj   +1 more source

The relationship between symptom burden and systemic inflammation differs between male and female athletes following concussion

BMC Immunology, 2020
Background Inflammation appears to be an important component of concussion pathophysiology. However, its relationship to symptom burden is unclear. Therefore, the purpose of this study was to evaluate the relationship between symptoms and inflammatory ...
Alex P. Di Battista, Nathan Churchill, Shawn G. Rhind, Doug Richards, Michael G. Hutchison   +4 more
doaj   +1 more source

Saddlepoint approximations for likelihood ratio like statistics with applications to permutation tests

, 2012
We obtain two theorems extending the use of a saddlepoint approximation to multiparameter problems for likelihood ratio-like statistics which allow their use in permutation and rank tests and could be used in bootstrap approximations.
Kolassa, John, Robinson, John
core   +1 more source

False discovery rate control with multivariate $p$-values

, 2008
Multivariate statistics are often available as well as necessary in hypothesis tests. We study how to use such statistics to control not only false discovery rate (FDR) but also positive FDR (pFDR) with good power.
Chi, Zhiyi
core   +2 more sources

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

The multivariate multisample nonparametric rank statistics for the location alternatives

Austrian Journal of Statistics, 2017
Multisample testing problems are among the most important topics in nonparametric statistics. Various nonparametric tests have been proposed for multisample testing problems involving location parameters, and the analysis of multivariate data is ...
Hidetoshi Murakami
doaj   +1 more source

Hydrogeochemistry of Groundwater from Kazaure Area, NW Nigeria using Multivariate Statistics [PDF]

E3S Web of Conferences, 2019
This study was aimed at understanding the factors affecting groundwater for the benefit of water resources management. Groundwater collected from 18 sites over an area of 770 Km2 was analysed.
Ado Musa, Adeyeye Oluwafemi, Xiao Changlai, Liang Xuijuan   +3 more
doaj   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source