Cognitive biases as Bayesian probability weighting in context [PDF]
Frontiers in PsychologyIntroductionHumans often exhibit systematic biases in judgments under uncertainty, such as conservatism bias and base-rate neglect. This study investigates the context dependence of these biases within a Bayesian framework.MethodsForty-eight participants
Bruno Kopp
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Nonlinear Probability Weighting in Depression and Anxiety: Insights From Healthy Young Adults [PDF]
Frontiers in Psychiatry, 2022 Both depressive and anxiety disorders have been associated with excessive risk avoidant behaviors, which are considered an important contributor to the maintenance and recurrence of these disorders.
Kosuke Hagiwara +6 more
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Self-Distancing Reduces Probability-Weighting Biases
Frontiers in Psychology, 2018 We have abundant evidence that people exhibit biases in weighting probability information. The current study aims to examine whether self-distancing would reduce these biases.
Qingzhou Sun +3 more
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Normalized Augmented Inverse Probability Weighting with Neural Network Predictions [PDF]
Entropy, 2022 The estimation of average treatment effect (ATE) as a causal parameter is carried out in two steps, where in the first step, the treatment and outcome are modeled to incorporate the potential confounders, and in the second step, the predictions are ...
Mehdi Rostami, Olli Saarela
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Inverse probability weighting for causal inference in hierarchical data [PDF]
BMC Medical Research MethodologyObjective The aim of this study was to explore the impact of model misspecification, balance, and extreme weights on average treatment effect (ATE) estimation in hierarchical data with unmeasured cluster-level confounders using the multilevel propensity ...
Lin Hu +10 more
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Dorsolateral prefrontal cortex plays causal role in probability weighting during risky choice [PDF]
Scientific Reports, 2022 In this study, we provide causal evidence that the dorsolateral prefrontal cortex (DLPFC) supports the computation of subjective value in choices under risk via its involvement in probability weighting.
Ksenia Panidi +3 more
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Insurance and Probability Weighting Functions [PDF]
SSRN Electronic Journal, 2006 Evidence shows that (i) people overweight low probabilities and underweight high probabilities, but (ii) ignore events of extremely low probability and treat extremely high probability events as certain.
Ali al-Nowaihi, Sanjit Dhami
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Correlation between metabolic unhealth and prostate cancer -an inverse probability weighting study [PDF]
BMC UrologyBackground Current research indicates that prostate cancer (PCa) is one of the most common cancers in men, and its occurrence may be linked to metabolic unhealth.
Mingyue Chen +5 more
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Probability Weighting Functions* [PDF]
, 2010 In this paper we begin by stressing the empirical importance of non-linear weighting of probabilities, which expected utility theory (EU) is unable to accommodate. We then go on to outline three stylized facts on non-linear weighting that any alternative
Ali al-Nowaihi, Sanjit Dhami
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Inverse Probability Weighting Enhances Absolute Risk Estimation in Three Common Study Designs of Nosocomial Infections [PDF]
Clinical Epidemiology, 2022 Paulina Staus,1 Maja von Cube,1,* Derek Hazard,1,* Sam Doerken,1 Ksenia Ershova,2 James Balmford1 ,† Martin Wolkewitz1 1Institute of Medical Biometry and Statistics, Division Methods in Clinical Epidemiology, Faculty of Medicine and Medical ...
Staus P +6 more
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