probability weighting
Dealing with indeterminate outcomes in antimalarial drug efficacy trials: a comparison between complete case analysis, multiple imputation and inverse probability weighting
... Multiple Imputation and inverse probability weighting has been increasingly used in the medical and statistical literature in the past decade [9, 10, 15]. Yet only a hand- ful of studies have considered ...
17
How Probability Weighting Affects Inventory Management with Supply Disruptions
... ability weighting functions are concave on an initial interval and convex beyond that, which implies that small probabilities are overweighted while large ones are ...the probability weighting ...
6
The use of fully conditional specification of multiple imputation and inverse probability weighting to model the pulmonary disease occurrence in survey data with non response
... In Table-3, we present the results from each method. The overall estimates from the MI and IPW methods are not very different, but the former produces smaller standard errors than the latter for all covariates. This ...
8
Random Expected Utility and Certainty Equivalents: Mimicry of Probability Weighting Functions
... dependent probability weighting functions of the inverse-s shape discussed by Quiggin (1982) and advocated by Tversky and Kahneman (1992) and other ...(1998) weighting functions from certainty ...
29
Exaggerated Risk: Prospect Theory and Probability Weighting in Risky Choice
... Given the suggestion that there may be differences in people’s decision behavior as a function of the type of risks they may be contemplating, we propose that there is a need to be sensitive to possibly different ...
72
Probability weighting, stop loss and the disposition effect
... Instead probability weighting encourages the investor to aim for a long-tailed distribution, placing some mass on extremely high gains precisely because these are the outcomes which are overweighted under ...
54
An inverse probability weighting method for estimating the net benefit in survival analyses in observational studies
... In randomized trials, the net benefit can readily be estimated without making any assumptions, including the assumption of proportional hazards, and it has been discussed from both theoretical and practical perspectives ...
7
Inverse probability weighting to estimate causal effect of a singular phase in a multiphase randomized clinical trial for multiple myeloma
... At a median follow up of 54 months from randomization, 85/200 and 121/214 events/patient (pro- gression, relapse, or death from any cause) had been re- corded in the experimental and control arms, respectively. Overall, ...
10
The weight of experience: an investigation of probability weighting under decisions from experience
... Differences in proportions of maximising choices between Matched Sampling with fixed 40-40 sampling order Experiment 5 and descriptive choice data from Experiment 2 across the different [r] ...
282
A New Fuzzy SVM based on the Posterior Probability Weighting Membership
... posterior probability of the sample characteristics to determine by the type (13) , then fuzzy support vector machine solution the optimal hyperplanes for the optimization problem is [2] : ...
15
Re examining how utility and weighting functions get their shapes: a quasi adversarial collaboration providing a new interpretation
... Notice that the first three experiments in Table 1 (experiments SRH 1A–1C) test for the SRH effect in the utility domain by varying the distributions of the money amounts between treatments, holding con- stant the set of ...
22
Breastfeeding in Infancy and Lipid Profile in Adolescence
... There are some limitations to our study. First, attending the follow-up was voluntary, and we cannot rule out the possibility of selection bias. There were inevitable differences in the baseline characteristics between ...
10
What can multiple price lists really tell us about risk preferences?
... We introduced a modified version of the H&L task which held probabilities constant at 0.50 and provided much more variation in the payoff amounts. By providing more varia- tion in payoff amounts, we hoped to obtain ...
29
Protective effect of early low-dose hydrocortisone on ventilator-associated pneumonia in the cancer patients: a propensity score analysis
... the probability that a patient will receive low-dose hydrocortisone, was assessed using a logistic regression model with baseline covariates as explanatory variables and treatment with low-dose hydrocortisone as ...
9
Efficient Counterfactual Learning from Bandit Feedback
... inverse probability weighting estimator” using the true propensity score (benchmark thanks to Swaminathan and Joachims (2015b)) or estimated propensity scores (our proposal), both of which are defined and ...
8
Adverse childhood experiences, non-response and loss to follow-up: Findings from a prospective birth cohort and recommendations for addressing missing data
... inverse probability-weighting using baseline auxiliary variables, multiple imputation using baseline auxiliary variables, multiple imputation using auxiliary variables from all waves, and multiple ...
19
Problems of utility and prospect theories Certainty effect near certainty
... a probability weighting (see, ...A probability weighting means that subjects treat the probability p by a probability weighting function W(p) which is not equal to p (see ...
9
PubMedCentral-PMC4963003.pdf
... Inverse Probability Weighting (IPW), Cluster Weighted Generalized Estimating Equations (CWGEE), and Doubly Weighted Generalized Estimating Equations ...
20
Prognostic value of NT proBNP levels in the acute phase of sepsis on lower long term physical function and muscle strength in sepsis survivors
... Methods: This is a retrospective analysis conducted in 196 sepsis patients (aged 18 – 86 years old) as part of the University of Florida (UF) Sepsis and Critical Illness Research Center (SCIRC) who consented to ...
11
Problems of utility and prospect theories A ”certain uncertain” inconsistency of the random lottery incentive system
... the probability weighting function of certain and uncertain ...the probability weighting function W(p) are specified: W Certain for the certain outcome and W(1), as the limit of the ...
30