Results 41 to 50 of about 11,828 (202)

Isotonic and Convex Regression: A Review of Theory, Algorithms, and Applications

open access: yesMathematics
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
doaj   +1 more source

The reliability of Berger’s table in estimating 1-RM and 10-RM of the elbow flexor muscles in normal young adults

open access: yesSouth African Journal of Physiotherapy, 2001
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
doaj   +1 more source

Regression with Ordered Predictors via Ordinal Smoothing Splines

open access: yesFrontiers in Applied Mathematics and Statistics, 2017
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
doaj   +1 more source

Isotonic quadriceps endurance is better associated with daily physical activity than quadriceps strength and power in COPD: an international multicentre cross-sectional trial

open access: yesScientific Reports, 2021
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
doaj   +1 more source

Bounded isotonic regression

open access: yesElectronic Journal of Statistics, 2017
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
openaire   +2 more sources

Mitigating Algorithmic Bias Through Probability Calibration: A Case Study on Lead Generation Data

open access: yesMathematics
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
doaj   +1 more source

Anti‐Apoptotic and Neurite‐Protective Nanomedicine Augments Embryonic Stem Cells‐Derived Retinal Ganglion Cell Transplantation in Glaucoma Recovery

open access: yesAdvanced Science, EarlyView.
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
wiley   +1 more source

Isotonic regression meets LASSO

open access: yesElectronic Journal of Statistics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Promotion of DFU Wound Healing via BRG1–COL16A1 Axis in Fibroblasts

open access: yesAdvanced Science, EarlyView.
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
wiley   +1 more source

A Novel Non-Isotonic Statistical Bivariate Regression Method—Application to Stratigraphic Data Modeling and Interpolation

open access: yesMathematical and Computational Applications, 2020
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
doaj   +1 more source

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