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Evaluating the sampling effect of propensity score matching for reducing selection bias in medical data [PDF]
Frontiers in Public HealthBackgroundIn real-world medical data, selection bias can significantly impact the performance of machine learning models, potentially leading to distorted outcomes. However, research aimed at mitigating selection bias remains relatively limited.MethodsIn
Minji Roh +4 more
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Relative age selection bias does not translate into a playing-time advantage: evidence from Italian Serie A football [PDF]
Frontiers in PsychologyIntroductionThe Relative Age Effects (RAEs) represent a bias in talent identification and selection processes, favouring athletes born earlier in the selection year.
Paolo Riccardo Brustio +9 more
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Bounding Bias Due to Selection
Epidemiology, 2019 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.
Smith, Louisa H., VanderWeele, Tyler J.
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Selection Bias Requires Selection: The Case of Collider Stratification Bias. [PDF]
Am J Epidemiol, 2023 Abstract In epidemiology, collider stratification bias, the bias resulting from conditioning on a common effect of two causes, is oftentimes considered a type of selection bias, regardless of the conditioning methods employed. In this commentary, we distinguish between two types of collider stratification bias: collider restriction bias ...
Lu H, Gonsalves GS, Westreich D.
europepmc +3 more sources
Quantifying selection bias due to unobserved patients in pharmacoepidemiologic studies of severe COVID-19 cohorts. [PDF]
BMC Med Res MethodolBokern M +4 more
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Sensitivity analysis of selection bias: a graphical display by bias-correction index [PDF]
PeerJ, 2023 Background In observational studies, how the magnitude of potential selection bias in a sensitivity analysis can be quantified is rarely discussed. The purpose of this study was to develop a sensitivity analysis strategy by using the bias-correction ...
Ping-Chen Chung, I-Feng Lin
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Applications of propensity score matching: a case series of articles published in [PDF]
Annals of Coloproctology, 2022 Propensity score matching (PSM) is an increasingly applied method of ensuring comparability between groups of interest. However, PSM is often applied unconditionally, without precise considerations.
Hwa Jung Kim
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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 ...
Jon F R, Barrett +4 more
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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
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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
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