Results 21 to 30 of about 1,248,041 (248)
Dorsolateral prefrontal cortex plays causal role in probability weighting during risky choice
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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Kernel Weighting for blending probability and non-probability survey samples
SORT, 2023 In this paper we review some methods proposed in the literature for combining a nonprobability and a probability sample with the purpose of obtaining an estimator with a smaller bias and standard error than the estimators that can be obtained using only the probability sample. We propose a new methodology based on the kernel weighting method.
Rueda, María del Mar +4 more
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A Testing Method of Probability Weighting Functions From an Axiomatic Perspective
Frontiers in Applied Mathematics and Statistics, 2018 This study presents a testing approach to examine various models of probability weighting functions that are considered nonlinear functions of probability in behavioral decision theory, such as prospect theory.
Kazuhisa Takemura +2 more
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Probability biases as Bayesian inference [PDF]
Judgment and Decision Making, 2006 In this article, I will show how several observed biases in human probabilistic reasoning can be partially explained as good heuristics for making inferences in an environment where probabilities have uncertainties associated to them.
André C. R. Martins
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A shocking experiment: New evidence on probability weighting and common ratio violations
Judgment and Decision Making, 2007 We study whether probability weighting is observed when individuals are presented with a series of choices between lotteries consisting of real non-monetary adverse outcomes, electric shocks.
Gregory S. Berns +3 more
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Probability Weighting as Evolutionary Second-best [PDF]
, 2010 The economic concept of the second-best involves the idea that multiple simultaneous deviations from a hypothetical first-best optimum may be optimal once the first-best itself can no longer be achieved, since one distortion may partially compensate for another.
Herold, Florian, Netzer, Nick
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PLoS ONE, 2022 Objectives While corticosteroids have been hypothesized to exert protective benefits in patients infected with SARS-CoV-2, data remain mixed. This study sought to investigate the outcomes of methylprednisone administration in an Italian cohort of ...
Lorenzo Porta +6 more
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Journal of Biostatistics and Epidemiology, 2020 Introduction: Missing values are frequently seen in data sets of research studiesespecially in medical studies.Therefore, it is essential that the data, especially in medical research should evaluate in terms of the structure of missingness.This study ...
Freshteh Osmani, Ebrahim Hajizadeh
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Combining Multiple Imputation and Inverse‐Probability Weighting [PDF]
Biometrics, 2011 Summary Two approaches commonly used to deal with missing data are multiple imputation (MI) and inverse‐probability weighting (IPW). IPW is also used to adjust for unequal sampling fractions. MI is generally more efficient than IPW but more complex. Whereas IPW requires only a model for the probability that an individual has complete data (a univariate
Seaman, Shaun R. +3 more
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International Journal of Infectious Diseases, 2022 Objectives: To evaluate the effectiveness of remdesivir in the early stage of nonsevere COVID-19. Although several randomized controlled trials have compared the effectiveness of remdesivir with that of a placebo, there is limited evidence regarding its ...
Shinya Tsuzuki +20 more
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