The DOI matches its Crossref record.
Goodness of Link Tests for Generalized Linear Models
Abstract
SUMMARY Data analytic procedures are proposed to examine the adequacy of the hypothesized link used in fitting a generalized linear model. Through model expansion and linearization, tests and estimation techniques are provided. These procedures, along with the release of GLIM3, enable the user to examine routinely and objectively the fit of an hypothesized model. Examples are presented to illustrate the testing and fitting procedure.
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Citations
Cited by
Regression Models for Ordinal Data
McCullagh, P. (1980) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1980.tb01109.x · Cited by 4,453
Guisan, A., Edwards, T. C., & Hastie, T. (2002) · Ecological Modelling · doi:10.1016/s0304-3800(02)00204-1 · Cited by 2,356
Logistic Regression Diagnostics
Pregibon, D. (1981) · The Annals of Statistics · doi:10.1214/aos/1176345513 · Cited by 1,290
Self-citationGeneralized modeling approaches to risk adjustment of skewed outcomes data
Manning, W. G., Basu, A., & Mullahy, J. (2005) · Journal of Health Economics · doi:10.1016/j.jhealeco.2004.09.011 · Cited by 760
Belotti, F., Deb, P., Manning, W. G., & Norton, E. C. (2015) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x1501500102 · Cited by 598
Metadata
- Authors
- Pregibon, D.
- Venue
- Applied Statistics
- Publisher
- JSTOR
- Published
- 1980
- Volume
- 29
- Issue
- 1
- Pages
- 15
- ISSN
- 0035-9254 (ISSN-L)
- OpenAlex
- W131309915
- Cited by
- 751
- References
- 0
- FWCI
- 6.51
- Type
- journal article
- Language
- en
- Open access
- closed
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