How can we design better experiments, build models, and formulate hypotheses while accurately interpreting results in science? My work focuses on structured data and leveraging probabilistic intuition to address these challenges. This draft book is a comprehensive guide to understanding the statistical foundations and practical applications essential for scientific research.
Table of Contents
- Chapter 1: Design, Power and Test
- Chapter 2: Can We Fix It in the Mix? A Practical Introduction to Mixed Models
Chapter 1: Design, Power, and Test
In this chapter, we explore the fundamentals of designing robust experiments, performing power analysis, and conducting appropriate hypothesis tests.
Chapter 2: Can We Fix It in the Mix? A Practical Introduction to Mixed Models
Mixed models are widely used in scientific analyses—from differential expression and GWAS studies to clinical trials.
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