Publications associées à Facteur de confusion

Robotically-induced auditory-verbal hallucinations: combining self-monitoring and strong perceptual priors

Olaf Blanke, Fosco Bernasconi, Melissa Faggella, Nathan Quentin Faivre, Pavo Orepic

Background. Inducing hallucinations under controlled experimental conditions in nonhallucinating individuals represents a novel research avenue oriented toward understanding complex hallucinatory phenomena, avoiding confounds observed in patients. Audito ...

2024

Optimal regimes for algorithm-assisted human decision-making

Mats Julius Stensrud, Aaron Leor Sarvet

We consider optimal regimes for algorithm-assisted human decision-making. Such regimes are decision functions of measured pre-treatment variables and, by leveraging natural treatment values, enjoy a superoptimality property whereby they are guaranteed to o ...

2024

Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report)

Robert West, Kristina Gligoric

What makes written text appealing? In this registered report, we study the linguistic characteristics of news headline success using a large-scale dataset of field experiments (A/B tests) conducted on the popular website comparing multiple headline variant ...

PUBLIC LIBRARY SCIENCE2023

Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI

Ali Falsafi, Shekoofeh Yaghmaei

This research aimed to evaluate the clinical features and computed tomography (CT) scans associated with poor outcomes in COVID-19 patients with acute kidney injury (AKI). A total of 351 COVID-19 patients (100 AKI, 251 non-AKI) hospitalized at Imam Hossein ...

IRANIAN SOC NEPHROLGY2023

Thermo-hydro-mechanical behavior of energy barrettes: Field experiments and numerical simulations

Lyesse Laloui, Elena Ravera, Alessandro Francesco Rotta Loria

Over the past two decades, the thermo-hydro-mechanical behavior of earth-contact structures such as piles, walls, slabs, and tunnels, which simultaneously provide structural support and energy supply, has been studied through various field experiments and ...

ELSEVIER2023

Causal modelling of heavy-tailed variables and confounders with application to river flow

Anthony Christopher Davison, Valérie Chavez

Confounding variables are a recurrent challenge for causal discovery and inference. In many situations, complex causal mechanisms only manifest themselves in extreme events, or take simpler forms in the extremes. Stimulated by data on extreme river flows a ...

SPRINGER2022

Hiding in Plain Sight: The Issue of Hidden Variables

Yimon Aye, Mahdi Assari

Here we discuss "hidden variables", which are typically introduced during an experiment as a consequence of the application of two independent variables together to create a stimulus. With increased sophistication in modern chemical biology tools and relat ...

AMER CHEMICAL SOC2022

Instrumented 5-Time Sit-To-Stand Test: Parameters Predicting Serious Falls beyond the Duration of the Test

Kamiar Aminian, Anisoara Ionescu, Arash Atrsaei, Yves Henchoz

Background: Falls are a major cause of injuries in older adults. To evaluate the risk of falls in older adults, clinical assessments such as the 5-time sit-to-stand (5xSTS) test can be performed. The development of inertial measurement units (IMUs) has pro ...

2021

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Facteur de confusion

Non-invasive neuromodulation of the right temporoparietal junction using theta-burst stimulation in functional neurological disorder

Robotically-induced auditory-verbal hallucinations: combining self-monitoring and strong perceptual priors

Optimal regimes for algorithm-assisted human decision-making

Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report)

Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI

Thermo-hydro-mechanical behavior of energy barrettes: Field experiments and numerical simulations

How Words Move Hearts: Interpretable Machine Learning Models of Bias, Engagement, and Influence in Socio-Political Systems

Causal modelling of heavy-tailed variables and confounders with application to river flow

Hiding in Plain Sight: The Issue of Hidden Variables

Instrumented 5-Time Sit-To-Stand Test: Parameters Predicting Serious Falls beyond the Duration of the Test

Graph Chatbot

Chattez avec Graph Search

Thermo-hydro-mechanical behavior of energy barrettes: Field experiments and numerical simulations

Hiding in Plain Sight: The Issue of Hidden Variables

Optimal regimes for algorithm-assisted human decision-making

Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report)

Causal modelling of heavy-tailed variables and confounders with application to river flow

Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI

How Words Move Hearts: Interpretable Machine Learning Models of Bias, Engagement, and Influence in Socio-Political Systems

Instrumented 5-Time Sit-To-Stand Test: Parameters Predicting Serious Falls beyond the Duration of the Test

Robotically-induced auditory-verbal hallucinations: combining self-monitoring and strong perceptual priors