Discover how to determine the ideal percentage of a population for a representative sample to ensure accurate data analysis with minimal sampling error.

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 ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...

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 ...

Introduction Conventional cardiotocography (CTG) has been used extensively to monitor the fetal condition during labour. However, conventional non-invasive monitoring is limited by the difficulty of ...

ABSTRACT: Sacred forests play a valuable role in the conservation of local biodiversity and provide numerous ecosystem services in Cameroon. The aim of this study was to estimate floristic diversity, ...

QUARRYVILLE, Pa. — As cases of the avian flu continue to spread, the federal government is calling on dairy farms to provide milk samples to test for the disease. Under the new federal order, dairy ...

Properties from random matrix theory allow us to uncover naturally embedded signals from different data sets. While there are many parameters that can be changed, including the probability ...

Neural networks are often treated as a "black box," and their interpretation and construction is based on empirical evidence. However, for scientific applications, accurate and stable approximation of ...

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.