Results 11 to 20 of about 67,707 (255)
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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Mitigating selection bias in organ allocation models
BMC Medical Research Methodology, 2021 Background The lung allocation system in the U.S. prioritizes lung transplant candidates based on estimated pre- and post-transplant survival via the Lung Allocation Scores (LAS).
Erin M. Schnellinger +5 more
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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.
Jiang, Zhichao, Ding, Peng
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Heterogeneous Causal Effects and Sample Selection Bias [PDF]
Sociological Science, 2015 The role of education in the process of socioeconomic attainment is a topic of long standing interest to sociologists and economists. Recently there has been growing interest not only in estimating the average causal effect of education on outcomes such ...
Richard Breen +2 more
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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
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Response to “Selection bias” [PDF]
Canadian Medical Association Journal, 2017 We thank Dr. Jansz[1][1] for his interest in our surveillance report.[2][2] We recognize that understanding the intricacies of the CanTravNet data would be difficult without first-hand experience of our network and its patient population. CanTravNet is a consortium of post-travel (not pretravel)
Andrea K, Boggild +13 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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