Regarding "Variable selection - A review and recommendations for the practicing statistician" by G. Heinze, C. Wallisch, and D. Dunkler
- PMID: 31058356
- DOI: 10.1002/bimj.201900088
Regarding "Variable selection - A review and recommendations for the practicing statistician" by G. Heinze, C. Wallisch, and D. Dunkler
Comment in
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Authors' reply.Biom J. 2019 Nov;61(6):1598-1599. doi: 10.1002/bimj.201900196. Epub 2019 Aug 7. Biom J. 2019. PMID: 31389061 No abstract available.
Comment on
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Variable selection - A review and recommendations for the practicing statistician.Biom J. 2018 May;60(3):431-449. doi: 10.1002/bimj.201700067. Epub 2018 Jan 2. Biom J. 2018. PMID: 29292533 Free PMC article. Review.
References
REFERENCES
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- Heinze, G., Wallisch, C., & Dunkler, D. (2018). Variable selection-A review and recommendations for the practicing statistician. Biometrical Journal, 60(3), 431-449.
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- Vansteelandt, S., Bekaert, M., & Claeskens, G. (2012). On model selection and model misspecification in causal inference. Statistical methods in medical research, 21(1), 7-30.
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- Vansteelandt, S., Goetghebeur, E., Kenward, M., & Molenberghs, G. (2006). Ignorance and uncertainty regions as inferential tools in a sensitivity analysis. Statistica Sinica, 16, 953-979.
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- Witte, J., & Didelez, V. (2019). Covariate selection strategies for causal inference: Classification and comparison. Biometrical Journal, 61(5), 1270-1289.
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