Astronomers face a data deluge from observatories like Vera Rubin — simulated skies may be key to training algorithms to keep ...

Background Stillbirths and associated outcomes remain a significant concern in sub-Saharan Africa (SSA), with approximately 41% of global stillbirths. Design Our cross-sectional analysis included a ...

This study highlights the potential of heart rate variability as an early indicator of gestational diabetes, facilitating ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania. Design We analysed cross-sectional survey data from the 2022 Tanzania ...

Compressive data gathering (CDG) has been recognized as a promising technique to collect sensory data in wireless sensor networks (WSNs) with reduced energy cost and better traffic load balancing.

Researchers use the simple random sample methodology to choose a subset of individuals from a larger population. While easier to implement than other methods, it can be costly and time-consuming.

A cross-sectional descriptive study was carried out using Cluster random sampling on auto rickshaw drivers in Chennai City who had been working for over two years and were present for the assessment.

The latest Times/Siena survey shows Trump up by six points among registered voters and three among likely voters. By Nate Cohn This afternoon’s New York Times/Siena College poll doesn’t look ...

What Is Multistage Cluster Sampling? Multistage cluster sampling involves additional random sampling within the selected clusters, known as double-stage sampling. This method is useful when ...

Cluster sampling requires thorough preparation and is often more complex than other sampling methods. Frequently Asked Questions about Cluster Sampling What are the different types of cluster sampling ...