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Conference item

Propensity score matching (PSM) and regression adjustment for causal inference in non-randomized studies with health-related quality of life (HRQoL) outcomes

Abstract:
We investigate the performance of propensity score matching (PSM) and multiple linear regression (MLR), both individually or combined, on simulated non-randomized Health Related Quality of Life (HRQoL) data. We examine whether the combined use of propensity score matching with multiple linear regression adjustment (PSMRA) produces more reliable estimates of the average treatment effect on the treated (ATT), than those obtained using either PSM or MLR alone.
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1007/s11136-016-1390-7

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDORMS; CSM
Role:
Author
ORCID:
0000-0002-2772-2316
Publisher:
Springer Publisher's website
Publication date:
2016-09-20
Acceptance date:
2016-06-01
DOI:
Pubs id:
pubs:720947
URN:
uri:83750d87-671b-4ebb-b78c-c3fb533d171c
UUID:
uuid:83750d87-671b-4ebb-b78c-c3fb533d171c
Local pid:
pubs:720947

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