Results 81 to 90 of about 3,450,267 (350)
Evaluating divorce dynamics through ODE modeling and statistical hypothesis testing
Discover Applied SciencesTo understand divorce, a quantitative method is used which considers the social, economic, and psychological elements impacting marital changes. We introduce a model based on Ordinary Differential Equations (ODEs), combined with statistical hypothesis ...
Ausif Padder +5 more
doaj +1 more source
Hypothesis testing, type I and type II errors
Industrial Psychiatry Journal, 2009 Hypothesis testing is an important activity of empirical research and evidence-based medicine. A well worked up hypothesis is half the answer to the research question.
Amitav Banerjee +4 more
doaj +1 more source
A method for comparing non-nested models with application to astrophysical searches for new physics
, 2016 Searches for unknown physics and decisions between competing astrophysical models to explain data both rely on statistical hypothesis testing. The usual approach in searches for new physical phenomena is based on the statistical Likelihood Ratio Test ...
Algeri, Sara +2 more
core +1 more source
Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer
Molecular Oncology, EarlyView.We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi +26 more
wiley +1 more source
Statistical significance and its meaning [PDF]
Psihološka Obzorja, 2005 The most frequently method of data analysis in psychology is null hypothesis significance testing (NHST); this work identifies the misunderstandings and consequent biases due to the unwitting use of this hybrid approach, derived by the fusion of the p ...
Christina Bachmann +2 more
doaj
Significance testing without truth [PDF]
, 2013 A popular approach to significance testing proposes to decide whether the given hypothesized statistical model is likely to be true (or false). Statistical decision theory provides a basis for this approach by requiring every significance test to make a ...
Perkins, William +2 more
core
Geometric Inference for General High-Dimensional Linear Inverse Problems
, 2015 This paper presents a unified geometric framework for the statistical analysis of a general ill-posed linear inverse model which includes as special cases noisy compressed sensing, sign vector recovery, trace regression, orthogonal matrix estimation, and
Cai, T. Tony +2 more
core +1 more source
Molecular Oncology, EarlyView.Presurgery 72‐h fasting in GB patients leads to adaptations of plasma lipids and polar metabolites. Fasting reduces lysophosphatidylcholines and increases free fatty acids, shifts triglycerides toward long‐chain TGs and increases branched‐chain amino acids, alpha aminobutyric acid, and uric acid.
Iris Divé +7 more
wiley +1 more source
Transcriptome‐wide analysis of circRNA and RBP profiles and their molecular relevance for GBM
Molecular Oncology, EarlyView.CircRNAs are differentially expressed in glioblastoma primary tumors and might serve as therapeutic targets and diagnostic markers. The investigation of circRNA and RNA‐binding proteins (RBPs) interactions shows that distinct RBPs play a role in circRNA biogenesis and function.
Julia Latowska‐Łysiak +14 more
wiley +1 more source
Understanding Statistical Testing
SAGE Open, 2015 Statistical hypothesis testing is common in research, but a conventional understanding sometimes leads to mistaken application and misinterpretation.
Peter J. Veazie
doaj +1 more source