Results 1 to 10 of about 12,243 (115)
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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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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Semiparametric isotonic regression modelling and estimation for group testing data [PDF]
Canadian Journal of Statistics, 2021 Jing Ning, Jin Piao
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The bias of isotonic regression [PDF]
Electronic Journal of Statistics, 2020 Garvesh Raskutti
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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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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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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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An Experimental Investigation of Calibration Techniques for Imbalanced Data
IEEE Access, 2020 Calibration is a technique used to obtain accurate probability estimation for classification problems in real applications. Class imbalance can create considerable challenges in obtaining accurate probabilities for calibration methods.
Lanlan Huang +4 more
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Algorithms, 2020 Motivated by the desire to numerically calculate rigorous upper and lower bounds on deviation probabilities over large classes of probability distributions, we present an adaptive algorithm for the reconstruction of increasing real-valued functions ...
Luc Bonnet +3 more
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A regression based phase I clinical trial for late-onset toxicities without clinician elicitation
Contemporary Clinical Trials Communications, 2019 An extension of the isotonic regression based phase I clinical trial design is presented that incorporates partial follow-up times into estimation of the raw toxicity probabilities.
Andrew G. Chapple +2 more
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