Results 91 to 100 of about 67,707 (255)
Selection bias in meta-analyses of gene-disease associations. [PDF]
Jin Ling Tang
doaj +1 more source
BackgroundIn 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
doaj +1 more source
Is There Selection Bias in Laboratory Experiments?*
Do the social and risk preferences of participants in laboratory experiments represent the preferences of the population from which they are recruited? To answer this question, we conducted a classroom experiment with a population of 1,173 students using
Slonim, Robert +2 more
core
Panel Data Sample Selection Model: an Application to Employee Choice of Health Plan Type and Medical Cost Estimation [PDF]
This paper utilizes a nonparametric panel data sample selection model to correct selection bias in the analysis of longitudinal medical claims data. Selection bias in the health economics data is a common problem and many health economists have used ...
Jeonghoon Ahn
core
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
As the voting advice application (VAA) market has grown increasingly competitive, developers have focused on innovation, including specialised VAAs that focus on specific topics.
Jan Philipp Thomeczek
doaj +1 more source
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
Bell–CHSH is an inequality about unconditional expectations: under measurement independence, Bell locality, and bounded outcomes, the CHSH value satisfies S≤2.
Parker Emmerson (Yaohushuason)
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
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
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

