Results 41 to 50 of about 2,780,395 (295)
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
Causally Regularized Learning with Agnostic Data Selection Bias
Most of previous machine learning algorithms are proposed based on the i.i.d. hypothesis. However, this ideal assumption is often violated in real applications, where selection bias may arise between training and testing process.
Csurka Gabriella +6 more
core +1 more source
Young children's referent selection is guided by novelty for both words and actions [PDF]
Young children are biased to select novel, name-unknown objects as referents of novel labels (e.g., Markman, 1990) and similarly favour novel, action-unknown objects as referents of novel actions (Riggs, Mather, Hyde & Simpson, 2015).
Dysart, Erin L. +2 more
core +1 more source
Response to “Selection bias” [PDF]
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
openaire +2 more sources
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior +7 more
wiley +1 more source
Methods in causal inference. Part 3: measurement error and external validity threats
The human sciences should seek generalisations wherever possible. For ethical and scientific reasons, it is desirable to sample more broadly than ‘Western, educated, industrialised, rich, and democratic’ (WEIRD) societies. However, restricting the target
Joseph A. Bulbulia
doaj +1 more source
Network experiment designs for inferring causal effects under interference
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
Confidence intervals and P-valves for meta analysis with publication bias [PDF]
We study publication bias in meta analysis by supposing there is a population (y, σ) of studies which give treatment effect estimates y ~ N(θ, σ2). A selection function describes the probability that each study is selected for review.
Copas, John B. +2 more
core
Risk of selection bias due to non-participation in a cohort study on pubertal timing. [PDF]
BackgroundNon-participation in aetiologic studies of pubertal timing is frequent. However, little effort has been given to explore the risk and potential impact of selection bias in studies of pubertal timing.ObjectiveWe aimed to explore the risk of ...
Arah, Onyebuchi A +7 more
core
A Proxy Bidding Mechanism that Elicits all Bids in an English Clock Auction Experiment [PDF]
This paper reconsiders experimental tests of the English clock auction. We point out why the standard procedure can only use a small subset of all bids, which gives rise to a selection bias.
Engelmann, Dirk, Wolfstetter, Elmar G.
core +2 more sources

