The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Maximally Selected Chi Square Statistics
Abstract
Two samples can be compared by selecting a cut point and then forming a 2 x 2 table of the numbers of observations above and below the cut point in each sample. When the cut point is selected so as to maximize the standard chi square statistic, the chi square percentile points are inappropriate. Actual significance levels are computed for large samples, and correct percentile pOilltS are tabulated.
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Citations
Cites
Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
Anderson, T. W., & Darling, D. A. (1952) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729437 · Cited by 3,542
Cited by
Unbiased Recursive Partitioning: A Conditional Inference Framework
Hothorn, T., Hornik, K., & Zeileis, A. (2006) · Journal of Computational and Graphical Statistics · doi:10.1198/106186006x133933 · Cited by 4,021
The chi-square test of independence
McHugh, M. L. (2013) · Biochemia Medica · doi:10.11613/bm.2013.018 · Cited by 2,828
“c) For any of a number of reasons (1), the continuous data were collapsed into a small number of categories, and thus the data are no longer interval or ratio.”
BackgroundDichotomizing continuous predictors in multiple regression: a bad idea
Royston, P., Altman, D. G., & Sauerbrei, W. (2006) · Statistics in Medicine · doi:10.1002/sim.2331 · Cited by 2,312
Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach
Unal, I. (2017) · Computational and Mathematical Methods in Medicine · doi:10.1155/2017/3762651 · Cited by 789
Pentheroudakis, G., Kotoula, V., De Roock, W., Kouvatseas, G., Papakostas, P., Makatsoris, T., Papamichael, D., Xanthakis, I., Sgouros, J., Televantou, D., et al. (2013) · BMC Cancer · doi:10.1186/1471-2407-13-49 · Cited by 111
Metadata
- Authors
- Miller, R., & Siegmund, D.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1982-12
- Volume
- 38
- Issue
- 4
- Pages
- 1011
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W1978018057
- Cited by
- 490
- References
- 1
- FWCI
- 3.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- Miller, R., & Siegmund, D. (1982). Maximally Selected Chi Square Statistics. Biometrics. https://doi.org/10.2307/2529881
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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.
