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Combining Multiple Imputation and Inverse‐Probability Weighting [PDF]

open access: yesBiometrics, 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
openaire   +3 more sources

Probability biases as Bayesian inference [PDF]

open access: yesJudgment 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
doaj   +2 more sources

Distinguishing Probability Weighting from Risk Misperceptions in Field Data [PDF]

open access: yes, 2013
The paper outlines a strategy for distinguishing rank-dependent probability weighting from systematic risk misperceptions in field data. Our strategy relies on singling out a field environment with two key properties: (i) the objects of choice are money ...
Barseghyan, Levon   +3 more
core   +3 more sources

A shocking experiment: New evidence on probability weighting and common ratio violations

open access: yesJudgment 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
doaj   +1 more source

Effect of methylprednisolone treatment on COVID-19: An inverse probability of treatment weighting analysis

open access: yesPLoS 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
doaj   +2 more sources

Combining Multiple Imputation and Inverse-Probability Weighting for Analyzing Response with Missing in the Presence of Covariates

open access: yesJournal 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
doaj   +1 more source

Effectiveness of remdesivir in hospitalized nonsevere patients with COVID-19 in Japan: A large observational study using the COVID-19 Registry Japan

open access: yesInternational 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
doaj   +1 more source

The Nature of Risk Preferences: Evidence from Insurance Choices [PDF]

open access: yes, 2011
The authors use data on insurance deductible choices to estimate a structural model of risky choice that incorporates standard risk aversion (diminishing marginal utility for wealth) and probability distortions.
Barseghyan, Levon   +3 more
core   +3 more sources

Class-Specific Deep Feature Weighting for Naïve Bayes Text Classifiers

open access: yesIEEE Access, 2020
Feature weighting is used to alleviate the conditional independence assumption of Naïive Bayes text classifiers and consequently improve their generalization performance. Most traditional feature weighting algorithms use general feature weighting,
Shufen Ruan   +3 more
doaj   +1 more source

Probabilities as Similarity-Weighted Frequencies [PDF]

open access: yesEconometrica, 2005
A decision maker is asked to express her beliefs by assigning probabilities to certain possible states. We focus on the relationship between her database and her beliefs. We show that if beliefs given a union of two databases are a convex combination of beliefs given each of the databases, the belief formation process follows a simple formula: beliefs ...
Gilboa, Itzhak   +3 more
openaire   +2 more sources

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