The added value of propensity score matching when using health-related quality of life reference data

Francesco Cottone, Fabio Efficace, Giovanni Apolone, Gary S. Collins

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)5119-5132
Number of pages14
JournalStatistics in Medicine
Volume32
Issue number29
DOIs
Publication statusPublished - Dec 20 2013

Keywords

  • Health-related quality of life
  • Propensity score matching
  • Reference data
  • Selection bias

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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