Simple vs. Stratified Random Sampling: Key Differences Explained

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.
BMJ Open

Speech-to-Speech Voice-Cloning Care (SVCC) for improving ICU-acquired anxiety for critically ill patients in a tertiary hospital in Beijing, China: protocol of a randomised ...

Introduction Intensive care unit (ICU) visiting restrictions in hospitals, implemented due to infection control and other factors, limited contact between patients and family members, affecting ...
IEEE

Improved Ratio Estimator under Stratified Simple Random Sampling Using Auxiliary Variable

Abstract: In this study, we suggested an improved ratio estimator for stratification utilizing an auxiliary variable in simple random sampling. Theoretically, bias ...
jmg.bmj

Evaluating the efficiency of nanopore adaptive sampling sequencing in detecting balanced translocation

Background Balanced translocation (BT) carriers have a high risk of recurrent miscarriage and abnormal offspring due to unbalanced gamete production. Clinical genetic testing often fails to detect BTs ...
IEEE

Combination Manner of Sampling Method and Model Structure: The Key Factor for Rice Mapping Based on Sentinel-1 Images Using Data-Driven Machine Learning

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...