Understanding descriptive analysis for epidemiological researchDescriptive analysis is a key component of epidemiological research. This is the first step in all population survey data analysis that…Nov 27Nov 27
Superheat plots: avisual tool for exploring relationships in RThe superheat package creates a heat plot or heatmap which isuseful for exploring relationships among the variables by a target variable in…Oct 10Oct 10
Guide to spatial analysis in R: using global GDP distribution data from World BankIn this post, we will explore how to analyze the distribution of Gross Domestic Product (GDP) across countries using spatial analysis…Oct 2Oct 2
Estimating predicted probabilities in StataIn statistical analysis, particularly with logistic regression models, understanding and interpreting the predicted probabilities can…Jul 31Jul 31
What are Lists in R?At its core, a list in R is a ordered collection of objects. These objects can be of any type — vectors, matrices, data frames, functions…Jul 29Jul 29
Creating a published trend chart using the rentrez package in RFor research enthusiasts, understanding publication trends of different topics in major databases, e.g., PubMed, can be a vital tool. In…Jul 28Jul 28
One-Sample Z-Test for the Mean vs. Two-Sample Z-TestIn statistical hypothesis testing, researchers often need to compare data samples to make inferences about population parameters. Two…Jul 13Jul 13
Plotting global and regional urbanization trends in RUrbanization, the process of population concentration in urban areas, is a critical demographic trend with significant implications for…Jul 13Jul 13
Understanding Central Tendency and Probability/Probability Distribution in StatisticsWhat is Central Tendency?Jul 7Jul 7