Multivariable Modeling Strategies
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cut-off for inclusion of 0.5 is a reasonable and conservative estimate for variable selection in a multivariable model.
“the cut-off for inclusion of 0.5 (rather than the traditional choice of a = 0.05) used for variable selection in this study is considered to be a reasonable and conservative estimate for a multivariable model [78].”
From Factors contributing to men’s grief following pregnancy loss and neonatal death: further development of an emerging model in an Australian sample (2021) · cites this paper as [78]
The citation lists haven’t been fetched yet
References 131 · Cited by 221
- Authors
- Harrell, F. E.
- Affiliations
- Vanderbilt University (US)
- Corresponding author
- Harrell, Frank E.
- ORCID
- Harrell, Frank E.
- Venue
- Springer Series in Statistics
- Publisher
- Springer International Publishing
- Published
- 2015
- Pages
- 63-102
- ISSN
- 0172-7397 (ISSN-L)
- 2197-568X
- OpenAlex
- W1887010865
- Cited by
- 221
- References
- 131
- Citations by year
- 2026: 27 · 2025: 20 · 2024: 22 · 2023: 22 · 2022: 19 · 2021: 18 · 2020: 16 · 2019: 22 · 2018: 18 · 2017: 4 · 2016: 9 · 2015: 3 · 2014: 3 · 2013: 2 · 2012: 2
- FWCI
- 40.23
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer series in statistics (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Keywords
- multivariable modeling, model complexity, high-dimensional predictors, prediction, estimation, hypothesis testing, model selection
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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