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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…
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…
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…
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…
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.…
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…
