Statistical Terms and Definitions Monographs

Section Editors

Gian Luca Di Tanna, PhD, Head of BioStatistics & Data Science Division and A/Professor, The George Institute for Global Health and University of New South Wales, Sydney, NSW, Australia

Kumar Mukherjee, PhD, MS, BPharm, Associate Professor, Department of Pharmacy Practice, Philadelphia College of Osteopathic Medicine, Suwanee, GA, USA

Juan-David Rueda, MSc, MD, International Oncology Market Access Lead for Emerging Markets AstraZeneca, Singapore, Singapore

David J. Vanness, PhD, Professor, Health Policy and Administration, Pennsylvania State University, University Park, PA, USA

Monographs

1. Bayesian Analysis (PDF)
2. Bootstrapping (PDF)
3. Causal Inference (PDF)
4. Confounding (PDF)
5. Effect Modification (PDF)
6. Experimental Design (PDF)
7. Growth Curve Modeling (PDF)
8. Instrumental Variable (PDF)
9. Interrupted Time Series Analysis (PDF)
10. Linear Discriminant Analysis (PDF)
11. Missing Data (PDF)
12. Patient-Level Data (PDF)
13. Predictive Analytics (PDF)
14. Predictive Value (PDF)
15. Principal Component Analysis (PDF)
16. Prognostic Models (PDF)
17. Propensity Score (PDF)
18. Sensitivity Analysis - Uncertainty (PDF)
19. Statistics in HEOR (PDF)
20. Surrogate Outcome (Surrogate Endpoint) (PDF)
21. Survival Analysis (Time-to-Event Analysis) I (PDF) - (Kaplan Meier and parametric distributions to fit survival curves
22. Survival Analysis (Time-to-Event) II (PDF) - Cox regression, competing risk analysis and partition models)