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Head to head comparison of the propensity score and the high-dimensional propensity score matching methods.
- Source :
- BMC Medical Research Methodology; 2/19/2016, Vol. 16, p1-10, 10p, 1 Diagram, 3 Charts, 1 Graph
- Publication Year :
- 2016
-
Abstract
- <bold>Background: </bold>Comparative performance of the traditional propensity score (PS) and high-dimensional propensity score (hdPS) methods in the adjustment for confounding by indication remains unclear. We aimed to identify which method provided the best adjustment for confounding by indication within the context of the risk of diabetes among patients exposed to moderate versus high potency statins.<bold>Method: </bold>A cohort of diabetes-free incident statins users was identified from the Quebec's publicly funded medico-administrative database (Full Cohort). We created two matched sub-cohorts by matching one patient initiated on a lower potency to one patient initiated on a high potency either on patients' PS or hdPS. Both methods' performance were compared by means of the absolute standardized differences (ASDD) regarding relevant characteristics and by means of the obtained measures of association.<bold>Results: </bold>Eight out of the 18 examined characteristics were shown to be unbalanced within the Full Cohort. Although matching on either method achieved balance within all examined characteristic, matching on patients' hdPS created the most balanced sub-cohort. Measures of associations and confidence intervals obtained within the two matched sub-cohorts overlapped.<bold>Conclusion: </bold>Although ASDD suggest better matching with hdPS than with PS, measures of association were almost identical when adjusted for either method. Use of the hdPS method in adjusting for confounding by indication within future studies should be recommended due to its ability to identify confounding variables which may be unknown to the investigators. [ABSTRACT FROM AUTHOR]
- Subjects :
- DIABETES risk factors
CONFOUNDING variables
MEDICAL care
PHARMACEUTICAL industry
PHARMACEUTICAL services insurance
DRUG therapy for hyperlipidemia
AGE distribution
ANTILIPEMIC agents
COMPARATIVE studies
CONFIDENCE intervals
DATABASES
HYPERLIPIDEMIA
RESEARCH methodology
MEDICAL care research
MEDICAL cooperation
PROBABILITY theory
REFERENCE values
RESEARCH
SEX distribution
LOGISTIC regression analysis
EVALUATION research
CASE-control method
ODDS ratio
DIAGNOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 14712288
- Volume :
- 16
- Database :
- Complementary Index
- Journal :
- BMC Medical Research Methodology
- Publication Type :
- Academic Journal
- Accession number :
- 113227264
- Full Text :
- https://doi.org/10.1186/s12874-016-0119-1