Welcome to Insights, where I share practical knowledge, analytical perspectives, tutorials and lessons drawn from working with real-world data, research problems and analytical tools. The goal is to make data and statistics easier to understand and, more importantly, easier to apply to real research, business and decision-making problems.
Practical articles on turning raw data into useful information, from data exploration and cleaning to analysis, visualization and interpretation.
Topics include:
Understanding statistical methods beyond commands and software. I break down statistical concepts with an emphasis on when to use them, why they are appropriate and how to interpret the results.
Topics include:
Practical guidance for moving from a research idea to a structured analytical study.
Topics include:
Insights on transforming operational and business data into information that managers and decision-makers can understand and use.
Topics include:
Practical insights into using statistical and machine-learning methods for prediction, forecasting and segmentation.
Topics include:
This section focuses on using Stata for real-world research and data analysis. Rather than presenting isolated commands, the content demonstrates how Stata fits into the complete analytical process.
Topics include:
A major focus of my work is demonstrating how analytical methods are applied to real-world databases rather than relying only on simplified example datasets. Insights cover working with data sources such as:
National Health and Nutrition Examination Survey
Topics can include dataset selection, XPT files, merging components, survey weights, variable construction and statistical analysis.
National Ambulatory Medical Care Survey & National Hospital Ambulatory Medical Care Survey
Practical analysis of healthcare utilization, patient characteristics and ambulatory/emergency care data.
Surveillance, Epidemiology, and End Results
Cancer incidence, patient characteristics, outcomes and survival analysis.
Clinical and critical-care data analysis.
Cancer genomic and clinical data analysis.
Population, mortality and public-health data.
Population, demographic and health survey analysis.
Canadian Community Health Survey data and population-health analysis.
Economic, development, financial and population indicator analysis, including cross-country, time-series and panel-data applications.
A practical framework for understanding variables, data structure, missingness, distributions and analytical requirements before selecting statistical methods.
Read ArticleA practical guide to identifying NHANES components, importing datasets, selecting variables, merging files using SEQN and preparing data for analysis.
Read ArticleUnderstanding the extent and pattern of missingness before deciding whether to use complete-case analysis, imputation or another appropriate approach.
Read ArticleA practical decision-making guide based on your research question, outcome variable, predictor variables, distribution and study design.
Read ArticleHow country-level indicators can be transformed into structured panel data for descriptive analysis, visualization, panel diagnostics and econometric modelling.
Read ArticleExploring how customer behaviour, RFM analysis and predictive modelling can help businesses identify potentially high-value customer segments.
Read ArticlePrefer practical demonstrations?
My YouTube content focuses on solving real-world research problems using Stata, from study conceptualization and research design through data management, statistical analysis, interpretation and reporting.
Tutorials use datasets including NHANES, NAMCS, NHAMCS, SEER, MIMIC-IV, DHS and other real-world data sources.
Visit Wilfred The Analyst on YouTubeFor the website filtering and navigation, use the categories below.
Each article card should display: Category Article Title Short Description Publication Date Reading Time Read Article
New insights will cover practical problems encountered when working with real data, statistical analysis, research and analytical technologies.
Follow my work for new tutorials, articles, datasets and analytical resources.
If you're dealing with a dataset, research question or analytical problem that requires professional support, you can engage me directly.