CareLit Fachartikel
A Comparison of Matching and Weighting Methods for Causal Inference Based on Routine Health Insurance Data, or: What to do If an RCT is Impossible
Matschinger, H.; Heider, D.; König, H. · Das Gesundheitswesen · 2020 · Heft S 02 · S. S139 bis S150
Dokument
575769
CareLit-ID
Jahr
2020
Publikation
PDF
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Volltext
DOI
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Bibliografische Angaben
Zusammenfassung
Due to a multitude of reasons Randomized Control Trials on the basis of so-called “routine data” provided by insurance companies cannot be conducted. Therefore the estimation of “causal effects” for any kind of treatment is hampered since systematic bias due to specific selection processes must be suspected. The basic problem of counterfactual, which is to evaluate the difference between two potential outcomes for the same unit, is discussed. The focus lies on the comparison of the performance of different approaches to control for systematic differences between treatment and control group. These strategies are…
Schlagworte
Bias
Population
Observation
After
Arteriosclerosis
Algorithms
Germany
Appendix
Gesundheitsökonomie
Observational Study
Arteriosklerose
Bibliography
Unemployment
Beurteilung
Comorbidity
Dabigatran
