Results 131 to 140 of about 15,601,125 (299)
BackgroundBayesian regression models provide a robust framework for complex data analysis, which is particularly advantageous in scenarios with small sample sizes, common in psychology or medical research.
Daniel Lüdecke +5 more
doaj +1 more source
A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size. [PDF]
She X, Berger TW, Song D.
europepmc +1 more source
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
BackgroundTesting relational mechanisms like self-verification (SV) in competitive collegiate sport is constrained by field-feasible measurement and the small-N problem.
Zacharias Papadakis +2 more
doaj +1 more source
Stress-Strength Parameter Estimation under Small Sample Size: A Testing Hypothesis Approach. [PDF]
Alsuhabi H, Saber MM, El-Raouf MMA.
europepmc +1 more source
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
Comparison of Matrix Decomposition in Null Space-Based LDA Method
Problems with small sample sizes and high dimensionality are common in pattern recognition. Almost all machine learning algorithms degrade in high-dimensional data, so that singularities in the scatter matrices, the main problem of the Linear ...
Carissa Devina Usman +2 more
doaj +1 more source
Oversampling and replacement strategies in propensity score matching: a critical review focused on small sample size in clinical settings. [PDF]
Bottigliengo D +10 more
europepmc +1 more source
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source
Bootstrapping long memory tests: some Monte Carlo results [PDF]
We investigate the bootstrapped size and power properties of five long memory tests, including the modified R/S, KPSS and GPH tests. In small samples, the moving block bootstrap controls the empirical size of the tests.
M Izzeldin, A Murphy
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