Results 11 to 20 of about 8,348 (152)

Impact of Methodological Assumptions and Covariates on the Cutoff Estimation in ROC Analysis. [PDF]

open access: yesBiom J
ABSTRACT The receiver operating characteristic (ROC) curve stands as a cornerstone in assessing the efficacy of biomarkers for disease diagnosis. Beyond merely evaluating performance, it provides with an optimal cutoff for biomarker values, crucial for disease categorization.
Ghosal S.
europepmc   +2 more sources

Impact of length of stay on diagnostic yield in the epilepsy monitoring unit: A multi-center retrospective 12-year Veterans Health Administration study. [PDF]

open access: yesEpilepsia Open
Abstract Objective Epilepsy Monitoring Units (EMUs) in Veterans Health Administration (VHA) Epilepsy Centers of Excellence (ECoE) are critical for the diagnosis and management of seizure disorders. Whether a shorter length of stay (LOS) in the EMU due to scheduling impacts diagnostic yield is unclear.
Feygin MS   +21 more
europepmc   +2 more sources

Measuring the risk of a nonlinear portfolio with fat tailed risk factors through probability conserving transformation [PDF]

open access: yes, 2014
This paper presents a new heuristic for fast approximation of VaR (Value-at-Risk) and CVaR (conditional Value-at-Risk) for financial portfolios, where the net worth of a portfolio is a non-linear function of possibly non-Gaussian risk factors.
Bustreo, R, Date, P
core   +1 more source

Resampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks [PDF]

open access: yesStatistics and computing, 2023
The g-formula can be used to estimate the treatment effect while accounting for confounding bias in observational studies. With regard to time-to-event endpoints, possibly subject to competing risks, the construction of valid pointwise confidence ...
Jasmin Rühl, Sarah Friedrich
semanticscholar   +1 more source

Quantifying dependencies for sensitivity analysis with multivariate input sample data [PDF]

open access: yes, 2018
We present a novel method for quantifying dependencies in multivariate datasets, based on estimating the R\'{e}nyi entropy by minimum spanning trees (MSTs). The length of the MSTs can be used to order pairs of variables from strongly to weakly dependent,
Crommelin, D. T., Eggels, A. W.
core   +6 more sources

Quantifying statistical uncertainty in the attribution of human influence on severe weather [PDF]

open access: yes, 2018
Event attribution in the context of climate change seeks to understand the role of anthropogenic greenhouse gas emissions on extreme weather events, either specific events or classes of events.
Paciorek, Christopher J.   +2 more
core   +4 more sources

Nonparametric asymptotic confidence intervals for extreme quantiles

open access: yesScandinavian Journal of Statistics, 2022
In this paper, we propose new asymptotic confidence intervals for extreme quantiles, that is, for quantiles located outside the range of the available data. We restrict ourselves to the situation where the underlying distribution is heavy‐tailed.
L. Gardes, Samuel Maistre
semanticscholar   +1 more source

Bayesian Nonparametric Calibration and Combination of Predictive Distributions [PDF]

open access: yes, 2015
We introduce a Bayesian approach to predictive density calibration and combination that accounts for parameter uncertainty and model set incompleteness through the use of random calibration functionals and random combination weights. Building on the work
Bassetti, Federico   +2 more
core   +4 more sources

Nonparametric Density Estimation Using Partially Rank-Ordered Set Samples With Application in Estimating the Distribution of Wheat Yield [PDF]

open access: yes, 2014
We study nonparametric estimation of an unknown density function $f$ based on the ranked-based observations obtained from a partially rank-ordered set (PROS) sampling design.
Jozani, Mohammad Jafari   +2 more
core   +1 more source

Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models [PDF]

open access: yes, 2019
Triangular systems with nonadditively separable unobserved heterogeneity provide a theoretically appealing framework for the modelling of complex structural relationships.
Chernozhukov, Victor   +4 more
core   +3 more sources

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