Objectives To identify caregiver burden profiles among informal caregivers of children and adolescents with type 1 diabetes ...

Introduction Routine health information system (RHIS) data use remains limited in many low- and middle-income countries, with ...

Have you ever stared at a massive spreadsheet, unsure how to turn that sea of numbers into something meaningful? You’re not alone. Despite Excel being one of the most widely used tools in the world, ...

What are the differences between Excel Tables vs Normal Ranges? Why use tables in analytics? How do you remove duplicates from a dataset? How would you clean messy data (extra spaces, text to columns, ...

Abstract: This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors ...

ABSTRACT: Burundi faces alarming food insecurity, affecting 41.2% of the population, with a prevalence of malnutrition reaching 55.9%. Micronutrient deficiencies, particularly iron and zinc, affect ...

ABSTRACT: Binary logistic regression models are commonly used to assess the association between outcomes and covariates. Many covariates are inherently continuous, and have a variety of distributions, ...

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