Results 141 to 150 of about 3,450,267 (350)
F1000ResearchFailure to reject a null-hypothesis may lead to erroneous conclusions regarding the absence of an association or inadequate statistical power. Because an estimate (and its variance) can never be exactly zero, traditional statistical tests cannot ...
Amand Schmidt
doaj
Statistical Classification via Robust Hypothesis Testing: Non-Asymptotic and Simple Bounds [PDF]
, 2021 Hüseyin Afşer
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Molecular Oncology, EarlyView.In prostate carcinoma, lactic acid, secreted by highly glycolytic cancer‐associated fibroblasts, is imported into tumor cells through the MCT1 transporter and prevents RSL3 and erastin‐induced ferroptosis (A). Targeting of carbonic anhydrase IX/XII, the main extracellular pH regulators, in tumor and stromal cells reduces microenvironmental acidosis and
Elisa Pardella +18 more
wiley +1 more source
F1000ResearchFailure to reject a null-hypothesis may lead to erroneous conclusions regarding the absence of an association or inadequate statistical power. Because an estimate (and its variance) can never be exactly zero, traditional statistical tests cannot ...
Amand Schmidt
doaj
A Pragmatic Approach to Statistical Testing and Estimation (PASTE)
Health Professions Education, 2018 The p-value has dominated research in education and related fields and a statistically non-significant p-value is quite commonly interpreted as ‘confirming’ the null hypothesis (H0) of ‘equivalence’.
Jimmie Leppink
doaj
Large Deviation Analysis of Score-Based Hypothesis Testing
IEEE AccessScore-based statistical models play an important role in modern machine learning, statistics, and signal processing. For hypothesis testing, a score-based hypothesis test is proposed in Wu et al., (2022).
Enmao Diao +2 more
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Statistical Analysis based Hypothesis Testing Method in Biological Knowledge Discovery [PDF]
, 2013 Md. Naseef-Ur-Rahman Chowdhury +2 more
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Molecular Oncology, EarlyView.This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source
Statistical approach for structural damage diagnosis using bootstrap hypothesis testing
, 2004 Aiko Furukawa +2 more
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Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation
Molecular Oncology, EarlyView.Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides +13 more
wiley +1 more source