Results 91 to 100 of about 114,812 (338)
Parametric Weighting Functions [PDF]
This paper provides behavioral foundations for parametric weighting functions under rankdependent utility. This is achieved by decomposing the independence axiom of expected utility into separate meaningful properties.
Diecidue, Enrico +2 more
core
IPWLOGIT: Stata module to fit marginal logistic regression by inverse probability weighting
, 2023 IPWLOGIT fits marginal logistic regression of a binary dependent variable on a treatment variable, possibly adjusting for control variables by inverse probability weighting (IPW).
Jann, Ben
core
Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone +8 more
wiley +1 more source
A simple derivation of Prelec’s probability weighting function [PDF]
Since Kahneman and Tversky (1979), it has been generally recognized that decision makers overweight low probabilities and underweight high probabilities.
Ali al-Nowaihi, Sanjit Dhami
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
wiley +1 more source
A Note on the Relation of Weighting and Matching Estimators [PDF]
This paper compares the inverse-probability-of-selection-weighting estimation principle with the matching principle and derives conditions for weighting and matching to identify the same and the true distribution, respectively.
Michael Lechner
core
Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer +11 more
wiley +1 more source
Aging, Probability Weighting, and Reference Point Adoption: An Experimental Study [PDF]
We examine generational differences in risk-taking behavior by means of a laboratory experiment with monetary incentives. We estimate the parameterized models in the framework of cumulative prospect theory and examine the risk aversion, probability ...
Ayako Suzuki, Koichi Kume
core
The role of probability weighting in catastrophising.
, 2021 Catastrophising refers to an increased propensity to predict the worst possible outcome. It is a debilitating symptom of many common mental health disorders and is often targeted in cognitive behavioural therapy.
Alexandra C Pike +3 more
core +1 more source
Reflection on modern methods: a note on variance estimation when using inverse probability weighting to handle attrition in cohort studies [PDF]
, 2021 Marie‐Astrid Metten +3 more
openalex +1 more source