Causal Isotonic Regression [PDF]
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, Ted +2 more
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The bias of isotonic regression [PDF]
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, Ran +3 more
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Identifying change points in a covariate effect on time-to-event analysis with reduced isotonic regression. [PDF]
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
doaj +2 more sources
Isotonic Regression under Lipschitz Constraint [PDF]
The pool adjacent violators (PAV) algorithm is an efficient technique for the class of isotonic regression problems with complete ordering. The algorithm yields a stepwise isotonic estimate which approximates the function and assigns maximum likelihood to the data.
Yeganova, L., Wilbur, W. J.
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Exercise with fasting or isotonic drink? A randomized controlled trial in youth elite basketball players [PDF]
Background Pre-exercise carbohydrate intake is known to influence performance; however, data describing their effect on cardiorespiratory parameters is scarce.
Petra Márton +12 more
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A lightweight deep learning framework for reliable microscopy-based diagnosis of cutaneous leishmaniasis. [PDF]
Cutaneous 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
doaj +2 more sources
A clinical prediction model for central venous catheter-associated bloodstream infections: derivation and validation from the MIMIC-IV cohort [PDF]
Background Central venous catheter-associated bloodstream infections (CVC–BSIs) significantly affect clinical outcomes in critically ill patients. Existing risk prediction models lack comprehensive integration of early clinical indicators.
Bo Song +3 more
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Machine learning algorithms for prediction of cerebrospinal fluid leakage after posterior surgery for thoracic ossification of the ligamentum flavum [PDF]
To develop and validate a machine-learning (ML) model that pre-operatively predicts cerebrospinal-fluid leakage (CSFL) after posterior decompression for thoracic ossification of the ligamentum flavum (TOLF), and to elucidate the key risk factors driving ...
Ruizhou Guo +6 more
doaj +2 more sources
Determining the optimal ropivacaine concentration for spinal anaesthesia during day surgery for anorectal procedures: a dose-finding study [PDF]
Ropivacaine is a commonly utilized local anesthetic for spinal anesthesia (SA); however, its optimal concentration for elective anorectal surgery has not been thoroughly estimated.
Lu Chen +7 more
doaj +2 more sources
Isotonic Distributional Regression [PDF]
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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