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Isotonic and Convex Regression: A Review of Theory, Algorithms, and Applications
Shape-restricted regression provides a flexible framework for estimating an unknown relationship between input variables and a response when little is known about the functional form, but qualitative structural information is available. In many practical
Eunji Lim
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Isotonic strength training remains one of the methods of strengthening muscles, as it requires inexpensive materials. The method requires the determination of maximal isotonic strength or one repetition maximum [1-RM] and/or sub-maximal isotonic strength
A. O. Akinpelu +2 more
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Regression with Ordered Predictors via Ordinal Smoothing Splines
Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables ...
Nathaniel E. Helwig, Nathaniel E. Helwig
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Knowledge about modifiable determinants of daily physical activity (PA) in patients with chronic obstructive pulmonary disease (COPD) is crucial to design effective PA interventions.
Erik Frykholm +8 more
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Isotonic regression offers a flexible modeling approach under monotonicity assumptions, which are natural in many applications. Despite this attractive setting and extensive theoretical research, isotonic regression has enjoyed limited interest in practical modeling primarily due to its tendency to suffer significant overfitting, even in moderate ...
Luss, Ronny, Rosset, Saharon
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Mitigating Algorithmic Bias Through Probability Calibration: A Case Study on Lead Generation Data
Probability calibration is commonly utilized to enhance the reliability and interpretability of probabilistic classifiers, yet its potential for reducing algorithmic bias remains under-explored.
Miroslav Nikolić +4 more
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Lithium‐epigallocatechin gallate nanoparticles (Li‐EGCG NPs) are co‐transplanted with embryonic stem cell‐derived retinal ganglion cells (ESC‐RGCs) to enhance cell survival and therapeutic efficacy in an acute pathological glaucomatous injury model. This synergistic approach protects RGC cells, preserves retinal structure and improves visual function ...
Moxin Chen +14 more
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Isotonic regression meets LASSO
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Promotion of DFU Wound Healing via BRG1–COL16A1 Axis in Fibroblasts
In normal wound healing, transcription factor BRG1 is upregulated and binds the COL16A1 promoter to enhance its expression, promoting fibroblast proliferation, migration, contraction, extracellular matrix deposition, and granulation tissue formation, thus accelerating wound closure.
Penghui Wang +10 more
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The present paper deals with nonlinear, non-monotonic data regression. This paper introduces an efficient algorithm to perform data transformation from non-monotonic to monotonic to be paired with a statistical bivariate regression method.
Daniele Polucci +2 more
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