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
Herbert Matschinger,Dirk Heider,Hans-Helmut König · Das Gesundheitswesen · 2020 · Heft S 2 · S. S139 bis S150
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313181
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Jahr
2020
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Zusammenfassung
Abstract 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 strate…
Schlagworte
EVALUATION
MODELL
BEURTEILUNG
INTERNATIONAL
IT
KIND
KOSTEN
KRANKE
MANAGEMENT
RANDOMISIERUNG
ES
APPENDIX
LONDON
WASHINGTON
Das Gesundheitswesen
