Lösungsansätze für das Problem fehlender Werte: Mechanismen erkennen und adäquat behandeln
Open accessAbstract
Der wichtigste Schritt zum richtigen Umgang mit fehlenden Werten ist das Wissen um die Mechanismen, die das Fehlen bedingen. Darauf aufbauend werden moderne Verfahren zum Umgang mit fehlenden Werten, welche im Vergleich zu bisherigen Verfahren mit allgemeineren Situationen umgehen können, vorgestellt und verglichen. Zum Abschluss werden konkrete Handlungsanweisungen zum korrekten Umgang mit fehlenden Werten gegeben.
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Missing data will probably be imputed with a missing at random-capable method, such as multiple imputations.
“According to Cho and Leonhart [59], data missing completely at random is very unlikely in a rehabilitation research setting, so missing data will probably be imputed with a missing at random-capable method (for example, using multiple imputations).”
From Immediate help through group therapy for patients with somatic diseases and depressive or adjustment disorders in outpatient care: study protocol for a randomized controlled trial. (2015) · cites this paper as [59]
The Abstract says that the paper discusses missing-data mechanisms and methods and gives guidance, but it does not state that MCAR is unlikely in rehabilitation research or recommend a MAR-capable method such as multiple imputation for that reason. Searches for MCAR, MAR, rehabilitation settings, and multiple imputation returned no passage establishing that recommendation; the available passages are largely the abstract and references. (LLM, conf=0.68)
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Ruesch, M., Helmes, A. W., & Bengel, J. (2015) · Trials · doi:10.1186/s13063-015-0801-3 · Cited by 10 · see citing works
- Authors
- Cho, A., & Leonhart, R.
- Affiliations
- University of Freiburg (DE)
- Corresponding author
- Cho, A.
- ORCID
- Leonhart, R.
- Venue
- Die Rehabilitation
- Publisher
- Georg Thieme Verlag KG
- Published
- 2012-12-11
- Volume
- 52
- Issue
- 04
- Pages
- 273-279
- ISSN
- 0034-3536 (ISSN-L)
- 1439-1309
- OpenAlex
- W2416189102
- Cited by
- 3
- References
- 0
- Citations by year
- 2017: 2 · 2015: 1
- FWCI
- 0.31
- Type
- journal article
- Language
- de
- Open access
- bronze
- doi.org
- Locations
- Die Rehabilitation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Medical Practices and Rehabilitation
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- missing data, missing data mechanisms, imputation
- MeSH terms
- Algorithms, Computer Simulation, Data Interpretation, Statistical, Rehabilitation, Research Design, Models, Statistical, Artifacts, Sample Size
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