Stat Academy

Jun 01,2025

Making SAS Accessible to Everyone – Edition 6: Preparing and Validating Your Data

Introduction Welcome to Edition 6 of Making SAS Accessible to Everyone. After exploring data structure and summaries in Edition 5, we now shift our focus to data preparation and validation. These steps are crucial before…

3 D Statistical Learning

Jun 01,2025

Making SAS Accessible to Everyone – Edition 5: Starting Data Exploration

Introduction This edition marks the beginning of our deep dive into data exploration using SAS. This Edition cannot have the pretension to cover the complete data exploration—not even a huge part. From experience, data exploration…

3 D Statistical Learning

Jun 01,2025

Making SAS Accessible to Everyone – Edition 4: How SAS Works – A Look Inside the ‘Black Box’

Introduction In previous editions, we learned how to access and import data into SAS. Now, in Edition 4, we uncover what happens behind the scenes when SAS processes a DATA step. Understanding SAS’s internal processing…

3 D Statistical Learning

Jun 01,2025

Making SAS Accessible to Everyone – Edition 3: Accessing and Importing Data in SAS

Introduction In the previous editions, we introduced SAS Studio and explored the interface and fundamental programming concepts. Now in Edition 3, we dive into one of the most essential topics: Accessing and Importing Data in…

3 D Statistical Learning

Jun 01,2025

Making SAS Accessible to Everyone – Edition 2: Exploring and Mastering SAS Studio

Introduction In the previous edition, we introduced SAS OnDemand for Academics, showed you how to register, navigate the interface, upload files, and run your very first SAS programs, all for free. If you haven’t read…

3 D Statistical Learning

Mar 29,2025

Making SAS Accessible to Everyone – Edition 1: A Complete Guide to Accessing and Learning SAS for Free

Introduction SAS (Statistical Analysis System) is a leading software for data analysis, statistical modeling, and machine learning, widely used in academia and industry. However, many believe SAS is inaccessible due to its high licensing costs.…

3 D Statistical Learning

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,…