The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Step away from stepwise
Open accessAbstract
Stepwise regression is a popular data-mining tool that uses statistical significance to select the explanatory variables to be used in a multiple-regression model. A fundamental problem with stepwise regression is that some real explanatory variables that have causal effects on the dependent variable may happen to not be statistically significant, while nuisance variables may be coincidentally significant. As a result, the model may fit the data well in-sample, but do poorly out-of-sample. Many Big-Data researchers believe that, the larger the number of possible explanatory variables, the more useful is stepwise regression for selecting explanatory variables. The reality is that stepwise regression is less effective the larger the number of potential explanatory variables. Stepwise regression does not solve the Big-Data problem of too many explanatory variables. Big Data exacerbates the failings of stepwise regression.
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Leisman, D. E., Harhay, M. O., Lederer, D. J., Abramson, M., Adjei, A. A., Bakker, J., Ballas, Z. K., Barreiro, E., Bell, S. C., Bellomo, R., et al. (2020) · Critical Care Medicine · doi:10.1097/ccm.0000000000004246 · Cited by 271
Obst, K. L., Oxlad, M., Due, C., & Middleton, P. (2021) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-020-03514-6 · Cited by 61
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Johansson, M. M., Barbero, M., Peolsson, A., Falla, D., Cescon, C., Folli, A., & Dong, H.-J. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18030958 · Cited by 18
Metadata
- Authors
- Smith, G.
- Venue
- Journal of Big Data
- Published
- 2018-09-15
- Volume
- 5
- Issue
- 1
- ISSN
- 2196-1115 (ISSN-L)
- OpenAlex
- W2890947206
- Cited by
- 532
- References
- 40
- FWCI
- 22.57
- Type
- journal article
- Language
- en
- Open access
- gold
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
