Permutation-based inference for spatially localized signals in longitudinal MRI data
Sign Up to like & getrecommendations! Published in 2021 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2021.118312
Abstract: Alzheimer's disease is a neurodegenerative disease in which the degree of cortical atrophy in specific structures of the brain serves as a useful imaging biomarker. Recent approaches using linear mixed effects (LME) models in longitudinal… read more here.
Keywords: inference spatially; cortical atrophy; based inference; permutation based ... See more keywords
Combining UAV and Sentinel-2 auxiliary data for forest growing stock volume estimation through hierarchical model-based inference
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2017.10.007
Abstract: Abstract Remotely sensed (RS) data are becoming increasingly important as sources of auxiliary information in forest resource assessments. Data from several satellites providing moderate image resolution are freely available (e.g. Sentinel-2). In addition, very-high-resolution three-dimensional… read more here.
Keywords: model based; based inference; case; hierarchical model ... See more keywords
TRIOMPHE: Transcriptome-Based Inference and Generation of Molecules with Desired Phenotypes by Machine Learning
Sign Up to like & getrecommendations! Published in 2021 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.1c00967
Abstract: One of the most challenging tasks in the drug-discovery process is the efficient identification of small molecules with desired phenotypes. In this study, we propose a novel computational method for omics-based de novo drug design,… read more here.
Keywords: desired phenotypes; based inference; transcriptome based; triomphe transcriptome ... See more keywords
Can we trust “Magnitude-based inference”?
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Sports Sciences"
DOI: 10.1080/02640414.2018.1516004
Abstract: Since the times and works of William Sealy Gosset (1876–1937) and Ronald Aylmer Fisher (1890–1962), imperfections of conventional null-hypothesis significance testing and in particular, use of P-values to evaluate such testing (invariably referred to as… read more here.
Keywords: mbi; sport exercise; based inference; magnitude based ... See more keywords
Likelihood-based inference for censored linear regression models with scale mixtures of skew-normal distributions
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2017.1408788
Abstract: ABSTRACT In many studies, the data collected are subject to some upper and lower detection limits. Hence, the responses are either left or right censored. A complication arises when these continuous measures present heavy tails… read more here.
Keywords: likelihood based; skew normal; censored linear; based inference ... See more keywords
High-dimensional rank-based inference
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2020.1725004
Abstract: ABSTRACT Existing high-dimensional inferential methods for comparing multiple groups test hypotheses are formulated in terms of mean vectors or location parameters. These methods are applicable mainly for metric data. Furthermore, the mean-based methods assume that… read more here.
Keywords: high dimensional; rank based; method; based inference ... See more keywords
A Rule-Based Inference Framework to Explore and Explain the Biological Related Mechanisms of Potential Drug-Drug Interactions
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/9093262
Abstract: As more drugs are developed and the incidence of polypharmacy increases, it is becoming critically important to anticipate potential DDIs before they occur in the clinic, along with those for which effects might go unobserved.… read more here.
Keywords: inference framework; framework; rule based; based inference ... See more keywords
Simulation-based inference for non-parametric statistical comparison of biomolecule dynamics
Sign Up to like & getrecommendations! Published in 2023 at "PLOS Computational Biology"
DOI: 10.1371/journal.pcbi.1010088
Abstract: Numerous models have been developed to account for the complex properties of the random walks of biomolecules. However, when analysing experimental data, conditions are rarely met to ensure model identification. The dynamics may simultaneously be… read more here.
Keywords: based inference; biomolecule dynamics; simulation based; non parametric ... See more keywords