Results 111 to 120 of about 1,201,173 (304)
Estimating treatment effectiveness with sample selection [PDF]
We consider a situation where treatment outcome is observed after two stages of selection; first of participation into the treatment, then in completion of the treatment. Estimates were obtained using two methods.
Vidhura Tennekoon +3 more
core
Investigating and quantifying selection bias in research using placental pathology samples
PregnancyIntroduction Increasing research interest has focused on placental pathology and pregnancy outcomes. Placental pathology examinations that are requested by the delivering provider are often used for research due to convenience, potentially introducing ...
Renee Odom‐Konja +6 more
doaj +1 more source
Relative age effects in Rugby union and Rugby league: a systematic review and meta-analysis
Frontiers in Sports and Active LivingIntroductionRelative Age Effects (RAEs) are prominent factors affecting youth sport participation and talent identification and selection processes. In rugby, RAEs appear to be prevalent in both Rugby League (RL) and Rugby Union (RU), yet no study has ...
P. R. Brustio +11 more
doaj +1 more source
FEBS Open Bio, EarlyView.The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley +1 more source
Is There Selection Bias in Laboratory Experiments? The Case of Social and Risk Preferences [PDF]
Laboratory experiments are frequently used to examine the nature of individual preferences and inform economic theory. However, it is unknown whether the preferences of volunteer participants are representative of the population from which the ...
Slonim, Robert +2 more
core
Accounting for Label Shift of Positive Unlabeled Data under Selection Bias
International Journal of Applied Mathematics and Computer ScienceWe consider the scenario when two samples of positive unlabeled (PU) data are available and for the second sample the change in prior probability of classes occurs while distributions of predictors in classes remain the same (label shift setting).
Mielniczuk Jan, Wawrzeńczyk Adam
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Does the Gravity Model Suffer from Selection Bias?
When analyzing bilateral trade flow data, zero trade flows are quite common and problematic when a gravity equation is estimated with a log-linear functional form.
Meilke, Karl D. +2 more
core
Robust FDI Determinants: Bayesian Model Averaging In The Presence Of Selection Bias [PDF]
The literature on Foreign Direct Investment (FDI) determinants is remarkably diverse in terms of competing theories and empirical results. We utilize Bayesian Model Averaging (BMA) to resolve the model uncertainty that surrounds the validity of the ...
Theo S Eicher +2 more
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