On the Impact of Variable Selection in Fitting Regression Equations
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Freedman, Navidi and Peters (1988) have shown that bootstrapping the entire data analysis, including model selection, does not necessarily give a satisfactory solution to the model uncertainty problem.
“However, Freedman, Navidi and Peters (1988) have shown that this does not necessarily give a satisfactory solution to the problem.”
From Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors (1999) · cites this paper as Freedman, Navidi and Peters (1988)
Cited by
Sorted by citations
Bayesian model selection in social research
Raftery, A. E. (1995) · Sociological Methodology · doi:10.2307/271063 · Cited by 6,823 · see citing works
Hoeting, J. A., Madigan, D., Raftery, A. E., & Volinsky, C. T. (1999) · Statistical Science · doi:10.1214/ss/1009212519 · Cited by 4,118 · see citing works
Schneeweiss, S., Rassen, J. A., Glynn, R. J., Avorn, J., Mogun, H., & Brookhart, M. A. (2009) · Epidemiology · doi:10.1097/ede.0b013e3181a663cc · Cited by 1,128 · see citing works
Model uncertainty, data mining and statistical inference
Chatfield, C. (1995) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2983440 · Cited by 1,103 · see citing works
- Authors
- Freedman, D. A., Navidi, W., & Peters, S. C.
- Affiliations
- University of California, Berkeley (US)
- Venue
- Lecture Notes in Economics and Mathematical Systems
- Publisher
- Springer Berlin Heidelberg
- Published
- 1988
- Pages
- 1-16
- ISSN
- 0075-8442 (ISSN-L)
- OpenAlex
- W1510590811
- Cited by
- 51
- References
- 0
- Citations by year
- 2025: 1 · 2023: 1 · 2017: 2 · 2015: 4 · 2013: 1 · 2012: 3
- FWCI
- 5.49
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in economics and mathematical systems (publishedVersion)
- UC Berkeley (submittedVersion)
- 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
- feature selection, regression model building, search procedures, goodness-of-fit statistics, refitting, bootstrapping, jackknife, high-dimensional data, model selection bias
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.
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