Sampling (or sample) bias is a widespread concern in scientific research, across several disciplines. The concept of sampling bias originated in statistical studies. The consequence of a biased sample ...

Case-cohort study designs represent a cost-effective and efficient strategy for analysing time-to-event data, particularly when the event of interest is rare. By selecting a random subcohort along ...

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

ABSTRACT: This article critically assessed the validity of five multiple linear regression models across three separate studies. The first examined the cytotoxic properties of ...

Sport persistence, the sustained engagement in sporting activities, is influenced by a combination of intrinsic and extrinsic motivational factors. Understanding these factors is crucial for ...

1 Nursing Training Institute Raymond-Poincaré, Assistance Publique-Hôpitaux de Paris (AP-HP), Garches, France. 2 Nursing Sciences Departement, Paris Cité University, Paris, France. 3 Nursing Sciences ...

OBJECTIVE: Pregnancy, childbirth, and postpartum periods bring along biological, psychological, and social changes that could affect women's sexual health. The aim of this study was to evaluate the ...

Digital health technologies can generate data that can be used to train artificial intelligence (AI) algorithms, which have been particularly transformative in cardiovascular health-care delivery.

Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. We simulated transmission ...

Using qualitative methods such as non-random sampling and snowball technique, the study presented at this seminar explores 8-mile settlement residents’ electricity access challenges, coping strategies ...