Results 1 to 10 of about 2,232,801 (311)

DisCo P-ad: Distance-Correlation-Based p-Value Adjustment Enhances Multiple Testing Corrections for Metabolomics [PDF]

Metabolites
Background: Due to scientific advancements in high-throughput data production technologies, omics studies, such as genomics and metabolomics, often give rise to numerous measurements per sample/subject containing several noisy variables that potentially ...
Debmalya Nandy, Debashis Ghosh, Katerina Kechris   +2 more
doaj   +2 more sources

Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning

Stats, 2022
Artificial neural networks are powerful tools for data analysis, particularly in the context of highly nonlinear regression models. However, their utility is critically limited due to the lack of interpretation of the model given its black-box nature. To
Michele La Rocca, Cira Perna
doaj   +1 more source

Does preregistration improve the credibility of research findings? [PDF]

Tutorials in Quantitative Methods for Psychology, 2020
Preregistration entails researchers registering their planned research hypotheses, methods, and analyses in a time-stamped document before they undertake their data collection and analyses. This document is then made available with the published research
Rubin, Mark
doaj   +1 more source

Development of a Bayesian multimodal model to detect biomarkers in neuroimaging studies

Frontiers in Neuroimaging, 2023
In this article, we developed a Bayesian multimodal model to detect biomarkers (or neuromarkers) using resting-state functional and structural data while comparing a late-life depression group with a healthy control group.
Dulal K. Bhaumik, Dulal K. Bhaumik, Yue Wang, Pei-Shan Yen, Olusola A. Ajilore   +4 more
doaj   +1 more source

Multiple McNemar Tests [PDF]

Biometrics, 2010
Summary Methods for performing multiple tests of paired proportions are described. A broadly applicable method using McNemar's exact test and the exact distributions of all test statistics is developed; the method controls the familywise error rate in the strong sense under minimal assumptions.
Westfall, Peter H., Troendle, James F., Pennello, Gene   +2 more
openaire   +3 more sources

Learning Interactions in Reaction Diffusion Equations by Neural Networks

Entropy, 2023
Partial differential equations are common models in biology for predicting and explaining complex behaviors. Nevertheless, deriving the equations and estimating the corresponding parameters remains challenging from data.
Sichen Chen, Nicolas J-B. Brunel, Xin Yang, Xinping Cui   +3 more
doaj   +1 more source

Evaluation and prediction of individual growth trajectories

Annals of Human Biology, 2023
Background Conventional growth charts offer limited guidance to track individual growth. Aim To explore new approaches to improve the evaluation and prediction of individual growth trajectories. Subjects and methods We generalise the conditional SDS gain
Stef van Buuren
doaj   +1 more source

Online Multiple Hypothesis Testing

Statistical Science, 2023
Updated in response to reviewer ...
Robertson DS, Wason JMS, Ramdas A
openaire   +4 more sources

Construction and application of march tests for pattern sensitive memory faults detection

Informatika, 2021
The urgency of the problem of testing storage devices of modern computer systems is shown. The mathematical models of their faults and the methods used for testing the most complex cases by classical march tests are investigated.
V. N. Yarmolik, V. A. Levantsevich, D. V. Demenkovets, I. Mrozek   +3 more
doaj   +1 more source

High-Dimensional Mediation Analysis for Time-to-Event Outcomes with Additive Hazards Model

Mathematics, 2023
Mediation analysis plays an increasingly crucial role in identifying potential causal pathways between exposures and outcomes. However, there is currently a lack of developed mediation approaches for high-dimensional survival data, particularly when ...
Meng An, Haixiang Zhang
doaj   +1 more source