Author: 3 D Statistical LearningWe help businesses and researchers solve complex challenges by providing expert guidance in statistics, machine learning, and tailored education. Our core services include: - Statistical Consulting: Comprehensive consulting tailored to your data-driven needs. - Training and Coaching: In-depth instruction in statistics, machine learning, and the use of statistical software such as SAS, R, and Python. - Reproducible Data Analysis Pipelines: Development of documented, reproducible workflows using SAS macros and customized R and Python code. - Interactive Data Visualization and Web Applications: Creation of dynamic visualizations and web apps with R (Shiny, Plotly), Python (Streamlit, Dash by Plotly), and SAS (SAS Viya, SAS Web Report Studio). - Automated Reporting and Presentation: Generation of automated reports and presentations using Markdown and Quarto. - Scientific Data Analysis: Advanced analytical support for scientific research projects.

Aug 23,2025

Making Statistical Concepts Accessible – Edition 5: Exploring Correlation and Regression Analysis in Healthcare

In the dynamic world of healthcare research and analysis, correlation and regression analyses stand out as vital tools, offering profound insights into the intricate relationships between variables. While both methods shed light on how changes…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 6: Introduction to Multiple Linear Regression – Advancing Beyond the Simple Linear Model

To grasp the concept of multiple linear regression, it’s essential to first understand the simple linear model, which we covered in our third edition of the “Making Statistical Concepts Accessible” series. You can review it…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 7: Assumptions and Coefficient Estimates in Multiple Linear Regression

In the previous edition of Making Statistical Concepts Accessible, we introduced the Multiple Linear Model, focusing on its goal and conceptual aspects. You can review it via the following link: Making Statistical Concepts Accessible –…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 8: Operationalizing Multiple Linear Regression – From Data to Model Parameter Estimation

Multiple linear regression (MLR) is a foundational statistical method used for both prediction and inference. For a deeper understanding of the structure, goals, and conception of multiple linear regression, refer to the article Making Statistical…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 9: Evaluating the Quality of Linear Regression Models

After fitting a linear regression model, whether for inference or prediction, it is crucial to assess the quality of the fit. Key questions include: Have we selected the best set of predictor variables? and Can…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 10: Interpreting the Results of Multiple Linear Regression from an R Output

Before performing a linear regression, certain preparatory steps are essential to ensure valid results. These include data preprocessing, checking assumptions, and defining the analysis objectives. For detailed guidance, refer to our article: Operationalizing Multiple Linear…