Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2019 Nov;61(6):1595-1597.
doi: 10.1002/bimj.201900088. Epub 2019 May 6.

Regarding "Variable selection - A review and recommendations for the practicing statistician" by G. Heinze, C. Wallisch, and D. Dunkler

Affiliations
Comment

Regarding "Variable selection - A review and recommendations for the practicing statistician" by G. Heinze, C. Wallisch, and D. Dunkler

Saskia le Cessie et al. Biom J. 2019 Nov.
No abstract available

PubMed Disclaimer

Comment in

  • Authors' reply.
    Heinze G, Wallisch C, Dunkler D. Heinze G, et al. 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

References

REFERENCES

    1. Heinze, G., Wallisch, C., & Dunkler, D. (2018). Variable selection-A review and recommendations for the practicing statistician. Biometrical Journal, 60(3), 431-449.
    1. 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.
    1. 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.
    1. Witte, J., & Didelez, V. (2019). Covariate selection strategies for causal inference: Classification and comparison. Biometrical Journal, 61(5), 1270-1289.

LinkOut - more resources