Introduction Ethnic disparities in reproductive, maternal, neonatal and child health (RMNCH) persist in Latin America, rooted ...
A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...
Objectives To estimate the prevalence of sickle cell trait, sickle cell disease, beta-thalassaemia minor and beta-thalassaemia major among Odisha’s indigenous populations and to examine associated ...
2 Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, China Background Gender disparities in vision ...
ABSTRACT: Quantitative research is a systematic investigation that utilizes numerical data and statistical techniques to determine relationships between variables and draw conclusions about the ...
A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong ...
Abstract: This study adds to the recent research on classification and regression using Latin Hypercube Sampling (LHS) as well as on classification involving Progressive LHS (PLHS) by investigating ...
This issue proposes adding cluster sampling capabilities to the scikit-sampling library. Cluster sampling is a probability sampling technique where the population is divided into naturally occurring ...
The association between lifestyles and the co-occurrence of physical, psychological, and cognitive conditions in older adults living with diabetes, especially in rural settings, remains unclear. This ...
Abstract: Deep metric learning has gained significant attention recently due to its promising performance in image retrieval, face recognition, and clustering tasks. Deep metric learning algorithms ...
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