The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Estimating regression models with unknown break‐points
Abstract
This paper deals with fitting piecewise terms in regression models where one or more break‐points are true parameters of the model. For estimation, a simple linearization technique is called for, taking advantage of the linear formulation of the problem. As a result, the method is suitable for any regression model with linear predictor and so current software can be used; threshold modelling as function of explanatory variables is also allowed. Differences between the other procedures available are shown and relative merits discussed. Simulations and two examples are presented to illustrate the method. Copyright © 2003 John Wiley & Sons, Ltd.
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Yousef, H., Czupalla, C. J., Lee, D., Chen, M. B., Burke, A. N., Zera, K. A., Zandstra, J., Berber, E., Lehallier, B., Mathur, V., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0440-4 · Cited by 442
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Sullivan, M. J. P., Lewis, S. L., Affum-Baffoe, K., Castilho, C., Costa, F., Sanchez, A. C., Ewango, C. E. N., Hubau, W., Marimon, B., Monteagudo-Mendoza, A., et al. (2020) · Science · doi:10.1126/science.aaw7578 · Cited by 377
The diversity and evolution of ecological and environmental citizen science
Pocock, M. J. O., Tweddle, J. C., Savage, J., Robinson, L. D., & Roy, H. E. (2017) · PLOS ONE · doi:10.1371/journal.pone.0172579 · Cited by 359
Metadata
- Authors
- Muggeo, V. M. R.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2003-09-08
- Volume
- 22
- Issue
- 19
- Pages
- 3055-3071
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2136464549
- Cited by
- 2,371
- References
- 20
- FWCI
- 7.17
- Type
- journal article
- Language
- en
- Open access
- closed
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