Table of Contents

Introduction

  1. What is SPC?
  2. Preface
  3. Synopsis

Part 1: Understanding Variation

  1. Understanding common versus special causes of variation
  2. Understanding variation using SPC Charts
  3. Looking for Signals of special cause variation on SPC Charts
  4. Using SPC charts in Healthcare

Part 2: Constructing SPC Charts with R

  1. Your First SPC Charts with Base R
  2. Calculating Control Limits
  3. Highlighting Freaks, Shifts, and Trends
  4. Core R Functions for SPC Charts
  5. SPC Charting with ggplot2
  6. SPC Charting with the qicharts2 package

Part 3: Advanced SPC Techniques

  1. Screened I Charts: Removing Freak Moving Ranges Before Calculating Limits
  2. SPC Charts for Rare Events
  3. Prime Charts for Count Data with Very Large Subgroups
  4. Prime Charts for Measurement Data with Variable Subgroup Sizes
  5. Funnel Plots for Categorical Subgroups
  6. Pareto Charts for Ranking Problems

Part 4: Best Practices, Controversies, and Tips

  1. Tips for Effective SPC Implementation
  2. Common Pitfalls to Avoid
  3. The forgotten Art of Rational Subgrouping

Part 5: Conclusion and Final Thoughts

  1. Conclusion and Final Thoughts

Appendices

  1. Data Sets
  2. Basic Statistical Concepts
  3. Two Types of Errors When Using SPC
  4. R Notes
  5. Critical Values for Longest Runs and Number of Crossings