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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Minimum effective concentration of ropivacaine for ultrasound-guided pericapsular nerve group block to relieve spinal anesthesia positioning pain in elderly patients with femoral intertrochanteric fracture: a double-blind biased-coin dose-finding study [PDF]
Frontiers in MedicineBackgroundThe optimal ropivacaine concentration for ultrasound-guided pericapsular nerve group (PENG) block to relieve spinal anesthesia positioning pain in elderly patients with femoral intertrochanteric fracture remains unclear.
Wenwen Zhai +11 more
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Electrocardiogram Abnormality Classification From Summary Statistics With Patient-Level Validation and Process-Focused Evaluation. [PDF]
Ann Noninvasive ElectrocardiolPatient‐level validation in ECG abnormality classification demonstrates that detailed evaluation (including monotonic decline patterns, learning convergence, and precision‐recall calibration across partitions) is vital for clinical deployment. Aggregate accuracy metrics alone mask critical generalization instabilities, highlighting the need for process‐
Hong S +5 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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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]
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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