Results 1 to 10 of about 12,255 (190)
Identifying change points in a covariate effect on time-to-event analysis with reduced isotonic regression. [PDF]
PLoS ONE, 2014 Isotonic regression is a useful tool to investigate the relationship between a quantitative covariate and a time-to-event outcome. The resulting non-parametric model is a monotonic step function of a covariate X and the steps can be viewed as change ...
Yong Ma, Yinglei Lai, John M Lachin
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Causal Isotonic Regression. [PDF]
J R Stat Soc Series B Stat Methodol, 2020 SummaryIn observational studies, potential confounders may distort the causal relationship between an exposure and an outcome. However, under some conditions, a causal dose–response curve can be recovered by using the G-computation formula. Most classical methods for estimating such curves when the exposure is continuous rely on restrictive parametric ...
Westling T, Gilbert P, Carone M.
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A lightweight deep learning framework for reliable microscopy-based diagnosis of cutaneous leishmaniasis. [PDF]
PLoS ONECutaneous leishmaniasis (CL) is a neglected tropical and zoonotic disease affecting both human and animal health, for which microscopic examination of Giemsa-stained slides remains the diagnostic reference standard despite being time-consuming and ...
Nisreen Osman E Ahmed +2 more
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The bias of isotonic regression. [PDF]
Electron J Stat, 2020 We study the bias of the isotonic regression estimator. While there is extensive work characterizing the mean squared error of the isotonic regression estimator, relatively little is known about the bias. In this paper, we provide a sharp characterization, proving that the bias scales as $O(n^{-β/3})$ up to log factors, where $1 \leq β\leq 2$ is the ...
Dai R, Song H, Barber RF, Raskutti G.
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Dual active-set algorithm for optimal 3-monotone regression [PDF]
Известия Саратовского университета. Новая серия: Математика. Механика. Информатика, 2022 The paper considers a shape-constrained optimization problem of constructing monotone regression which has gained much attention over the recent years. This paper presents the results of constructing the nonlinear regression with $3$-monotone constraints.
Gudkov, Alexandr A. +2 more
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Isotonic Distributional Regression [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2021 AbstractIsotonic distributional regression (IDR) is a powerful non-parametric technique for the estimation of conditional distributions under order restrictions. In a nutshell, IDR learns conditional distributions that are calibrated, and simultaneously optimal relative to comprehensive classes of relevant loss functions, subject to isotonicity ...
Henzi, Alexander +2 more
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Axioms, 2021 Meta-analyses combine the estimators of individual means to estimate the common mean of a population. However, the common mean could be undefined or uninformative in some scenarios where individual means are “ordered” or “sparse”.
Nanami Taketomi +3 more
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Advances in Neural Information Processing Systems 35, 2022 Neural Information Processing Systems (NeurIPS ...
Badih Ghazi +3 more
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Iterative isotonic regression [PDF]
ESAIM: Probability and Statistics, 2015 This article introduces a new nonparametric method for estimating a univariate regression function of bounded variation. The method exploits the Jordan decomposition which states that a function of bounded variation can be decomposed as the sum of a non-decreasing function and a non-increasing function. This suggests combining the backfitting algorithm
Guyader, Arnaud +3 more
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The Influence of Active Hamstring Stiffness on Markers of Isotonic Muscle Performance
Sports, 2021 Background: Previous research demonstrates hamstring muscle-tendon stiffness (HMTS) influences isometric strength, landing biomechanics and architectural tissue properties.
Sean P. Langan +4 more
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