Results 111 to 120 of about 4,525,334 (379)
When is selection bias not selection bias? [PDF]
Elihu H. Estey, Donna Przepiorka
openaire +3 more sources
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi+2 more
wiley +1 more source
Development of 4T1 breast cancer mouse model system for preclinical carbonic anhydrase IX studies
Carbonic anhydrase IX (CAIX) is a well‐recognised therapeutic target and prognostic biomarker in cancer. We developed and characterised a robust murine breast cancer model system that is suitable for CAIX studies in vitro and in vivo—it comprises both CAIX‐positive and CAIX‐negative controls and provides a solid platform for the comprehensive ...
Zane Kalniņa+13 more
wiley +1 more source
Selection and Misclassification Biases in Longitudinal Studies
Using imperfect tests may lead to biased estimates of disease frequency and measures of association. Many studies have looked into the effect of misclassification on statistical inferences.
Denis Haine+5 more
doaj +1 more source
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems [PDF]
Two typical forms of bias in user interaction data with recommender systems (RSs) are popularity bias and positivity bias, which manifest themselves as the over-representation of interactions with popular items or items that users prefer, respectively. Debiasing methods aim to mitigate the effect of selection bias on the evaluation and optimization of ...
arxiv +1 more source
ABSTRACT Purpose To assess the long‐term effects of a community cancer exercise program on quality of life, fatigue, weight, waist circumference, physical activity levels, lower extremity strength, body mass index (BMI), heart rate, and blood pressure, across non‐metastatic and metastatic patients.
Isaac Oppong, Roozbeh Naemi
wiley +1 more source
Invited Commentary: Selection Bias Without Colliders.
In causal analyses, conditioning on a collider generally results in selection bias. Conditioning on a prognostic factor that is independent of the exposure-and therefore is not a collider-can also result in selection bias when 1) the exposure has a non ...
M. Hernán
semanticscholar +1 more source
The early socioeconomic effects oftTeenage childbearing: A propensity score matching approach
A large body of literature has documented a negative correlation between teenage childbearing and teen mothers' socioeconomic outcomes, yet researchers continue to disagree as to whether the association represents a true causal effect.
Dohoon Lee
doaj
Measuring teaching quality in higher education: assessing selection bias in course evaluations
Student evaluations of teaching (SETs) are widely used to measure teaching quality in higher education and compare it across different courses, teachers, departments and institutions.
M. Goos, A. Salomons
semanticscholar +1 more source