Results 41 to 50 of about 55,839,926 (326)
Sensemakr: Sensitivity Analysis Tools for OLS in R and Stata
Social Science Research Network:This tutorial introduces the package sensemakr for R and Stata, which implements a suite of sensitivity analysis tools for regression models developed in Cinelli and Hazlett (2020, 2022).
Carlos Cinelli +2 more
semanticscholar +1 more source
Calibrating Noise to Sensitivity in Private Data Analysis
Theory of Cryptography Conference, 2006 We continue a line of research initiated in [10, 11] on privacy-preserving statistical databases. Consider a trusted server that holds a database of sensitive information.
C. Dwork +3 more
semanticscholar +1 more source
Prediction of heart disease and classifiers’ sensitivity analysis
BMC Bioinformatics, 2020 Heart disease (HD) is one of the most common diseases nowadays, and an early diagnosis of such a disease is a crucial task for many health care providers to prevent their patients for such a disease and to save lives.
K. Almustafa
semanticscholar +1 more source
Sensitivity-analysis for dry rate n (%) for patients treated with AUS.
, 2023 Sensitivity-analysis for dry rate n (%) for patients treated with AUS.
Qin Yang (25816) +2 more
core +1 more source
Sensitivity analysis methodology for battery degradation models [PDF]
, 2022 Accurate degradation models are crucial to battery design and management. However, the time and resources required to improve the accuracy of the model input factors that the output is sensitive to, which is essential for elucidating the inherent ...
Williams Agyei , Appiah +3 more
core +1 more source
Sensitivity-analysis for social dry rate n (%) for patients treated with AUS.
, 2023 Sensitivity-analysis for social dry rate n (%) for patients treated with AUS.
Qin Yang (25816) +2 more
core +1 more source
Fuel CommunicationsTracking flow paths of fluid injected in geological carbon-dioxide sequestration (GCS) projects is crucially important for flow conformance control. This study demonstrates how Gaussian present-transient (GPT) solutions can help evaluate flow conformance.
Clement Afagwu, Ruud Weijermars
doaj +1 more source
Sensitivity Analysis for Variational Inequalities [PDF]
Mathematics of Operations Research, 1992 In this paper we study the behavior of the local solutions of perturbed variational inequalities, governed by perturbations to both the variational inequality function and the feasible region. Assuming appropriate second-order and regularity conditions, we show that the perturbed local solution set is Lipschitz continuous and directionally ...
Yuping Qiu, Thomas L. Magnanti
openaire +1 more source
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions [PDF]
IEEE Conference on High Performance Extreme Computing, 2018 Derivatives of differential equation solutions are commonly for parameter estimation, fitting neural differential equations, and as model diagnostics. However, with a litany of choices and a Cartesian product of potential methods, it can be difficult for
Christopher Rackauckas +7 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source