Abstract
This chapter describes how to use the genreg macro for adaptive Poisson regression modeling as described in Chap. 12 and its generated output in the special case of univariate count outcomes, possibly converted to rate outcomes through offsets. Example analyses are provided for modeling means and dispersions for non-melanoma skin cancer rates for women of varying ages residing in St. Paul, Minnesota and Fort Worth, Texas, addressing how these rates depend on age and location of residence. One of these analyses provides an example for which adaptive modeling distinctly outperforms recommended degree 1 and 2 fractional polynomials.
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References
Stokes, M. E., Davis, C. S., & Koch, G. G. (2012). Categorical data analysis using the SAS system (3rd ed.). Cary, NC: SAS Institute.
Zelterman, D. (2002). Advanced log-linear models using SAS. Cary, NC: SAS Institute.
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© 2016 Springer International Publishing Switzerland
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Knafl, G.J., Ding, K. (2016). Adaptive Poisson Regression Modeling of Univariate Count Outcomes in SAS. In: Adaptive Regression for Modeling Nonlinear Relationships. Statistics for Biology and Health. Springer, Cham. https://doi.org/10.1007/978-3-319-33946-7_13
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DOI: https://doi.org/10.1007/978-3-319-33946-7_13
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-33946-7
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