The added value of propensity score matching when using health-related quality of life reference data
Article first published online: 5 JUN 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 32, Issue 29, pages 5119–5132, 20 December 2013
How to Cite
Cottone, F., Efficace, F., Apolone, G. and Collins, G. S. (2013), The added value of propensity score matching when using health-related quality of life reference data. Statist. Med., 32: 5119–5132. doi: 10.1002/sim.5868
- Issue published online: 8 NOV 2013
- Article first published online: 5 JUN 2013
- Manuscript Accepted: 9 MAY 2013
- Manuscript Received: 2 NOV 2012
- health-related quality of life;
- propensity score matching;
- reference data;
- selection bias
Direct comparisons of health-related quality of life (HRQoL) outcomes between non-randomized groups might be biased, as outcomes are confounded by imbalance in pre-treatment patient characteristics. Such bias can be reduced by adjusting on observed covariates. This is the setting of HRQoL comparisons with reference data, where age and gender adjustment is commonly used for this purpose. However, other observed covariates can be used to lessen this bias and yield more precise estimates. The objective of this study is to show that more accurate HRQoL comparisons with reference data can be obtained, accounting for few covariates in addition to age and gender by a propensity score matching approach. Copyright © 2013 John Wiley & Sons, Ltd.