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 26,2025

Introduction to Statistical Decision Theory – Edition 12: Application to Classification Decisions with Finite Hypotheses

Bayesian Classification with Finite Hypotheses In this lesson, we study how to make good classification decisions using Bayesian Decision Theory. The goal is to decide which group or class an observation belongs to, based on…

3 D Statistical Learning

Aug 26,2025

Making Bayesian Statistics Accessible to Everyone – Edition 10: Quiz on Bayesian Fundamentals (Part II)

Introduction Welcome to the 10th Edition of Making Bayesian Statistics Accessible to Everyone. This edition contains 25 multiple choice and true/false questions that evaluate your understanding of key concepts, computations, interpretations, and applications presented in…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 1: What is a p-value, simply explained by example?

P-value, short for ‘Probability-Value,’ serves as a crucial metric in hypothesis testing, primarily assessing the strength of evidence against the null hypothesis. Let’s delve into an example: Consider a randomized clinical trial focused on the…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 2: Hypothesis Testing by example

In the inaugural segment of ‘Making Statistical Concepts Accessible,’ we delved into the nuanced world of p-values, providing a clear definition underscored by practical examples. For a detailed understanding, follow the link to the first…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 3: Simple Linear Regression by example

Let’s begin with a Simple Linear Model overview before diving into the practical example: Understanding the relationship between the dosage of a drug (independent variable) and its influence on patients’ health outcomes (dependent variable) Simple…

3 D Statistical Learning

Aug 23,2025

Making Statistical Concepts Accessible – Edition 4: Discerning Variable Types for Informed Analysis

Understanding the scale of a variable is paramount in determining the appropriate statistical analysis. The type of variable you’re working with dictates the methodologies and tools you should employ. In our third serie of making…