How the Cases You Choose Affect the Answers You Get: Selection Bias in Comparative Politics [PDF]
Geddes Barbara
openalex +1 more source
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du+7 more
wiley +1 more source
Developing reference plans for evaluating global clinical trials credentialing and PSQA systems
Abstract Purpose To develop a practical framework for creating a diverse set of validated reference plans (varying in complexity) and implement a workflow to introduce beam modeling, calibration, and delivery errors into the reference cohort to test and compare various dosimetry audit methodologies.
Fre'Etta M. D. Brooks+13 more
wiley +1 more source
Minimizando perdas e maximizando eficiência na detecção de casos de desnutrição aguda severa
OBJETIVO: Alguns dos muitos desafios enfrentados por epidemiologistas são planejar adequadamente e otimizar o processo de captação de sujeitos em termos de efetividade e eficiência.
Michael E Reichenheim+1 more
doaj
Generalized Simple Graphical Rules for Assessing Selection Bias [PDF]
Selection bias is a major obstacle toward valid causal inference in epidemiology. Over the past decade, several simple graphical rules based on causal diagrams have been proposed as the sufficient identification conditions for addressing selection bias and recovering causal effects.
arxiv
Theory on Covariate-Adaptive Randomized Clinical Trials: Efficiency, Selection bias and Randomization Methods [PDF]
The theocratical properties of the power of the conventional testing hypotheses and the selection bias are usually unknown under covariate-adaptive randomized clinical trials. In the literature, most studies are based on simulations. In this article, we provide theoretical foundation of the power of the hypothesis testing and the selection bias under ...
arxiv
The burden of burnout: Understanding its prevalence and organizational drivers in medical physics
Abstract Background Burnout is a work‐related syndrome characterized by increased levels of emotional exhaustion (EE) and depersonalization (DP) along with decreased levels of personal achievement. In the healthcare setting, higher burnout levels have been associated with negative impacts on personnel, an increased risk of errors, and a decrease in the
Deborah Schofield+4 more
wiley +1 more source
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning [PDF]
Selection bias poses a critical challenge for fairness in machine learning, as models trained on data that is less representative of the population might exhibit undesirable behavior for underrepresented profiles. Semi-supervised learning strategies like self-training can mitigate selection bias by incorporating unlabeled data into model training to ...
arxiv
Abstract Purpose To promote diversity in Science, Technology, Engineering, and Mathematics (STEM), an educational presentation and hands‐on session was organised to raise awareness of STEM career opportunities among high school girls to introduce the students to the field of medical physics. Materials and Methods The study involved 65 first‐year Senior
Afua A. Yorke+7 more
wiley +1 more source
Selective Inference Approach for Statistically Sound Predictive Pattern Mining [PDF]
Discovering statistically significant patterns from databases is an important challenging problem. The main obstacle of this problem is in the difficulty of taking into account the selection bias, i.e., the bias arising from the fact that patterns are selected from extremely large number of candidates in databases.
arxiv