Results 21 to 30 of about 1,089,111 (238)
De-Selection Bias Recommendation Algorithm Based on Propensity Score Estimation
Applied Sciences, 2023 There are various biases present in recommendation systems, and recommendation results that do not consider these biases are unfair to users, items, and platforms.
Teng Ma, Su Yu
doaj +1 more source
Efficient estimation and correction of selection-induced bias with order statistics [PDF]
Stat Comput 34, 132 (2024), 2023 Model selection aims to identify a sufficiently well performing model that is possibly simpler than the most complex model among a pool of candidates. However, the decision-making process itself can inadvertently introduce non-negligible bias when the cross-validation estimates of predictive performance are marred by excessive noise.
arxiv +1 more source
Accounting for biases in survey-based estimates of population attributable fractions
Population Health Metrics, 2019 Background This paper discusses best practices for estimating fractions of mortality attributable to health exposures in survey data that are biased by observed confounders and unobserved endogenous selection.
Ryan Masters, Eric Reither
doaj +1 more source
Measurement equivalence in mixed mode surveys
Frontiers in Psychology, 2015 Surveys increasingly use mixed mode data collection (e.g., combining face-to-face and web) because this controls costs and helps to maintain good response rates.
Joop J. Hox +2 more
doaj +1 more source
Selection Bias, Confounding, or Information Bias? [PDF]
Hypertension, 2007 To the Editor, As a public health advocate against tobacco use, I find the recent article by Jatoi et al1 interesting and quite informative. As an epidemiologist, I also have a few concerns surrounding the methodologic issues of such study findings. One of the most essential components of a comprehensive tobacco control program is to disseminate the ...
openaire +3 more sources
Consequences de la sélection de variables sur l'interprétation des résultats en régression linéaire multiple [PDF]
Biotechnologie, Agronomie, Société et Environnement, 2005 Consequences of variable selection on the interpretation of the results in multiple linear regression. A priori or a posteriori variable selection is a common practise in multiple linear regression.
Palm R., Akossou AYJ.
doaj
Journal of the American College of Emergency Physicians Open, 2022 Objectives Studies have found that prolonged boarding time for intensive care unit (ICU) patients in the emergency department (ED) is associated with higher in‐hospital mortality.
Kevin Gardner +6 more
doaj +1 more source
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias [PDF]
arXiv, 2023 The shift between the training and testing distributions is commonly due to sample selection bias, a type of bias caused by non-random sampling of examples to be included in the training set. Although there are many approaches proposed to learn a classifier under sample selection bias, few address the case where a subset of labels in the training set ...
arxiv
Impacts of the government-supported investments on the economic farm performance in Austria
Agricultural Economics (AGRICECON), 2015 Farm investments in the European Union are supported by the governmental programmes. The evaluation of this programme is challenged through the voluntary participation and heterogeneous observation units.
Stefan KIRCHWEGER +2 more
doaj +1 more source
Kerala Journal of Psychiatry, 2021 Case-control studies (CSS) are observational analytic studies done often in instances of rare cases or outcomes. In a case-control study, clearly defined cases and controls arising from the same population is compared for well-measured exposures.
Pankajakshan Vijayanthi Indu +1 more
doaj +1 more source