Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

This paper studies job preferences among women in rural and peri-urban areas in El Salvador using a discrete choice experiment. Drawing on focus group insights, the analysis varies wages and five ...

Epilepsy is one of the common disorders known to man, with early accounts of the disorder traced back to antiquity.1 It was ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...

The Gambia’s agricultural sector, which is predominantly rain-fed and employs 70% of the labor force, is exceptionally vulnerable to climate change. This study assesses the impacts of projected ...

Background Alcohol use disorder and treatment-resistant depression (TRD) often co-occur, presenting a major clinical challenge with limited effective treatments. However, ketamine produces rapid ...

Objectives To translate and culturally adapt six self-report measures for depression, anxiety, post-traumatic stress disorder (PTSD) and somatic symptom disorder into Hindi and determine their ...

Abstract: A Monte Carlo statistical tolerance analysis is conducted on a parallel-plate, wirebond-less multichip power module (MCPM) to analyze the planarity across modules with post interconnects and ...

Background Approximately 70% of deaths in Tanzania occur outside health facilities and are often unreported or lack cause of death (COD) information. Consequently, health planning relies on data ...