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.

Mar 29,2025

Neural Networks vs. Random Forests: A Practical Guide for Machine Learning Practitioners

I. Introduction Machine learning has evolved significantly, with Neural Networks (NNs) and Random Forests (RFs) being two widely used algorithms. While deep learning dominates in many areas, Random Forests often excel in structured data applications.…

3 D Statistical Learning

Mar 23,2025

Fusing Machine Learning in R: Late Integration Predictive Modeling with fuseMLR

Introduction Recent technological advances have enabled the simultaneous collection of multi-omics data, i.e., different types or modalities of molecular data across various organ tissues of patients. For integrative predictive modeling, analyzing such data presents several…

3 D Statistical Learning

Mar 13,2023

Mastering Clinical Trial Design: Key Concepts for Statisticians

Summary Clinical trials are research studies conducted to assess the safety, efficacy, and sometimes the cost-effectiveness of new medical treatments, interventions, or diagnostic tests in humans. Statisticians play a crucial role in designing these studies,…

3 D Statistical Learning

Feb 20,2023

Proven Tips for High-Performance Neural Networks for AI

Before using Neural networks, you should make sure that you need a complicated model. However, as far as you know that you need a non-linear decision boundary, a Neural Network may generally be a good…

3 D Statistical Learning

Feb 19,2023

Statistical Test Insights: Key and Common Tips for Accurate Analysis and Inference

Summary Statistical tests are essential tools in research and data analysis, helping us draw meaningful conclusions from data. We explore some key and common knowledge and tips related to statistical tests. First, we point out…

3 D Statistical Learning

Feb 19,2023

Ensuring Data Privacy and Ethical Practices in AI

Summary Data privacy holds significant importance in the development and operation of AI systems. Protecting sensitive information and maintaining user data confidentiality are crucial considerations. By implementing robust measures, data privacy is upheld to safeguard…