The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A comparison of random forest regression and multiple linear regression for prediction in neuroscience
Overview
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Experimental Design and Data Analysis for Biologists
Quinn, G. P., & Keough, M. J. (2002) · doi:10.1017/cbo9780511806384 · Cited by 10,674
Cited by
Swanson, A., & Willette, A. A. (2016) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2016.07.148 · Cited by 79
Structural inequality and temporal brain dynamics across diverse samples
Baez, S., Hernandez, H., Moguilner, S., Cuadros, J., Santamaria‐Garcia, H., Medel, V., Migeot, J., Cruzat, J., Valdes‐Sosa, P. A., Lopera, F., et al. (2024) · Clinical and Translational Medicine · doi:10.1002/ctm2.70032 · Cited by 21
Metadata
- Authors
- Smith, P. F., Ganesh, S., & Liu, P.
- Venue
- Journal of Neuroscience Methods
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 220
- Issue
- 1
- Pages
- 85-91
- ISSN
- 0165-0270 (ISSN-L)
- OpenAlex
- W2063757041
- Cited by
- 305
- References
- 2
- FWCI
- 2.87
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A comparison of random forest regression and multiple linear regression for prediction in neuroscience. https://app.cochat.ai/papers/10.1016/j.jneumeth.2013.08.024
- The paper
- Smith, P. F., Ganesh, S., & Liu, P. (2013). A comparison of random forest regression and multiple linear regression for prediction in neuroscience. Journal of Neuroscience Methods. https://doi.org/10.1016/j.jneumeth.2013.08.024
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
