Results 11 to 20 of about 1,049,088 (304)
Vaccines, 2023 COVID-19 vaccines have saved millions of lives; however, understanding the long-term effectiveness of these vaccines is imperative to developing recommendations for booster doses and other precautions. Comparisons of mortality rates between more and less
Vladimir Atanasov +9 more
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Scandinavian Journal of Work, Environment & Health, 2014 Present day low participation rates in certain parts of research is concerning. It is not unusual that half (or even more) of those invited to participate in a research project decline the invitation.
Jørn Olsen
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Scientific Research or Advocacy? Emotive Labels and Selection Bias Confound Survey Results
Ecology and Society, 2000 Robert Costanza presents four compelling visions of the future, but the language he uses to describe them is emotive and value-laden and may bias the survey results.
Jerome K. Vanclay
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Human Movement, 2022 Purpose The relative age effect (RAE) is a widely reported phenomenon in elite sports context. However, little is known about its occurrence in other levels of practice, such as school sports.
Henrique de Oliveira Castro +7 more
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Apuntes del CENES, 2014 This paper assesses the effects of occupational segregation on the gender wage gap in urban Colombia between 1986 and 2000. The empirical methodology involves a two step procedure where by the occupational distributions ofworkers by gender aremodelled ...
Jairo Guillermo Isaza Castro
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International Journal of Methods in Psychiatric Research, 2022 Objectives Longitudinal survey data allow for the estimation of developmental trajectories of substance use from adolescence to young adulthood, but these estimates may be subject to attrition bias.
Yajuan Si +7 more
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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
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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
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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 +2 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.
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