1. Reference values | Choosing the unit system | Source population | Example | 2. Hemoglobin correction | 3. Clinical sub-pattern (Hughes & Pride 2012) | 4. How VA shapes the classifier output | 5. Cohort-level diffusion summaries | See also

1. Reference values from demographics alone | 2. Z-scores and percent predicted from measured values | 3. Severity grading | 4. ATS pattern classification | 5. Bronchodilator response | 6. PRISm screening | 7. Serial change | 8. The one-call workflow | 9. Visualisation | 10. Cohort analyses | 11. Long-form tidier for downstream analysis | 12. Diffusion clinical category | Citations

Measure abbreviations | Statistical terms | Patterns and clinical entities | Tests and gradings | Notation: the 4-character pattern combination | Race / ancestry categories (GLI 2012 only) | Common validation errors

Required vs. optional columns | Units and types | Precision and plausibility | Using non-canonical column names | Common errors

Severity bands | Pattern decision tree | Choosing between the 2022 and 2005 interpretive standards | Worked examples | Example 1: low FEV1/FVC with low FEV1 | Example 2: low TLC with preserved KCO | Example 3: PRISm without TLC | Applying vector helpers inside a data-frame workflow | See also

1. Two-point conditional change score: pft_change() | 2. FEV1Q in adults: pft_fev1q() | 3. Plotting trajectories | See also