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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
doaj +5 more sources
Bounding bias due to selection [PDF]
Epidemiology. 2019;30(4):509-516, 2018 When epidemiologic studies are conducted in a subset of the population, selection bias can threaten the validity of causal inference. This bias can occur whether or not that selected population is the target population, and can occur even in the absence of exposure-outcome confounding.
Tyler J. VanderWeele, Louisa H. Smith
arxiv +5 more sources
Investigating and Remediating Selection Bias in Geriatrics Research: The Selection Bias Toolkit
Journal of the American Geriatrics Society, 2019 Selection bias is a well‐known concern in research on older adults. We discuss two common forms of selection bias in aging research: (1) survivor bias and (2) bias due to loss to follow‐up. Our objective was to review these two forms of selection bias in
Hailey R Banack +4 more
semanticscholar +4 more sources
Mutation bias reflects natural selection in Arabidopsis thaliana
Nature, 2022 Since the first half of the twentieth century, evolutionary theory has been dominated by the idea that mutations occur randomly with respect to their consequences1.
J. G. Monroe +15 more
semanticscholar +1 more source
Selection bias in mutation accumulation [PDF]
Evolution, 2021 AbstractMutation accumulation (MA) experiments, in which de novo mutations are sampled and subsequently characterized, are an essential tool in understanding the processes underlying evolution. In microbial populations, MA protocols typically involve a period of population growth between severe bottlenecks, such that a single individual can form a ...
Lindi M. Wahl, Deepa Agashe
openaire +3 more sources
The directions of selection bias [PDF]
Statistics & Probability Letters, 2017 We show that if the exposure and the outcome affect the selection indicator in the same direction and have non-positive interaction on the risk difference, risk ratio or odds ratio scale, the exposure-outcome odds ratio in the selected population is a lower bound for true odds ratio.
Zhichao Jiang, Peng Ding
openaire +3 more sources
Credible Mendelian Randomization Studies in the Presence of Selection Bias Using Control Exposures
Frontiers in Genetics, 2021 Selection bias is increasingly acknowledged as a limitation of Mendelian randomization (MR). However, few methods exist to assess this issue. We focus on two plausible causal structures relevant to MR studies and illustrate the data-generating process ...
Zhao Yang +3 more
doaj +1 more source
Canadian Medical Association Journal, 2017 As experienced front-line obstetricians with leadership responsibilities, we have concerns with the conclusions and implications of the article by Muraca and colleagues on operative delivery in the second stage of labour.[1][1] Although an important strength is the size of this population ...
John Kingdom +4 more
openaire +2 more sources
Frontiers in Psychology, 2020 Coaches are faced with the difficult task of identifying and selecting athletes to their team. Despite its widespread practice in sport, there is still much to learn about improving the identification and selection process.
Kathryn Johnston, Joseph Baker
doaj +1 more source
Network experiment designs for inferring causal effects under interference
Frontiers in Big Data, 2023 Current approaches to A/B testing in networks focus on limiting interference, the concern that treatment effects can “spill over” from treatment nodes to control nodes and lead to biased causal effect estimation. In the presence of interference, two main
Zahra Fatemi, Elena Zheleva
doaj +1 more source