Advanced & Applied Topics · Computational Biostatistics & Genomics

Computational biostatistics: models for longitudinal and hierarchical data

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Mathematical and Computational Statistics

Overview

Topics covered

  • Introduction
  • Computational Biostatistics: Longitudinal and Hierarchical Data
  • Longitudinal and Hierarchical Data: The Limit of OLS
  • 1.1 Analytical formalization of correlation bias
  • Fundamentals of Exploratory Longitudinal Data Analysis (EDA)
  • 2.1 Profile Charts (Spaghetti Plots) and Means

Related concepts

Main connections

  • Mixed & multilevel models (GLMM)
  • Linear algebra & matrices
  • Maximum likelihood estimation
  • Variance & standard deviation
  • Mean & expected value
  • Calculus & differentiation

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

β^OLS=(XTX)−1XTY
View LaTeX source\hat{\beta}_{OLS} = (X^T X)^{-1} X^T Y