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Nonparametric Smoothers
Up one levelCleveland et al. (1988). Regression By Local Fitting
Cleveland, W. S., Devlin, S. J., and Grosse, E. (1988). Regression by local fitting methods, properties, and computational algorithms. Journal of Econometrics, 37:87-114.
Downer (2001). Smoothing and Disease Rates
Downer, R. G. (2001). Testing for elevated disease rates using smoothed estimates. Statistics in Medicine, 20:917-933.
Downer/Hamilton (2000). Penalized Multinomial Approach
Downer, R. G. and Hamilton, D. C. (2000). A penalized multinomial approach to smoothed estimation of disease incidence. Biometrical Journal, 42(4):395-415.
Kafadar (1994). Two-Dimensional Smoother Choices
Kafadar, K. (1994). Choosing among two-dimensional smoothers in practice. Computational Statistics and Data Analysis, 18:419-439.
Kafadar (1996). Smoothing Disease Rates
Kafadar, K. (1996). Smoothing geographical data, particularly rates of disease. Statistics in Medicine, 15:2539-3560.
Kafadar (1997). Smoothing & Prostate Cancer
Kafadar, K. (1997). Geographic trends in prostate cancer mortality: An application of spatial smoothers and the need for adjustment. Ann Epidemiol, 7:35-45.
Kafadar (1999). Smoothing and Adjusting Mortality Rates
Kafadar, K. (1999). Simultaneous smoothing and adjusting mortality rates in U.S. counties: Melanoma in white females and white males. Statistics in Medicine, 18:3167-3188.
Kelsall/Diggle (1998). Nonparametric Binary Regression
Kelsall, J. E. and Diggle, P. J. (1998). Spatial variation in risk of disease: A nonparametric binary regression approach. Applied Statistics, 47(4):559-573.
Lawson et al (2000). Evaluation: Disease Mapping Models
Lawson, A. B., Biggeri, A. B., Boehnin, D., Lesaffre, E., Viel, J.-F., Clark, A., Schlattmann, P., and Divino, F. (2000). Disease mapping models: An empirical evaluation. Statistics in Medicine, 19:2217-2241.
Rushton et al (2004). Colorectal Cancer in Iowa
Rushton, G., Peleg, I., Banerjee, A., Smith, G. and West, M. (2004). Analyzing geographic patterns of disease incidence: Rates of late-stage colorectal cancer in Iowa, Journal of Medical Systems 28, 223(319).
Shen/Louis (1999). Smoothing By Roughening Approach
Shen, W. and Louis, T. A. (1999). Empirical Bayes estimation via the smoothing by roughening approach. Journal of Computational and Graphical Statistics, 8(4):800-823.
Shen/Louis (2000). Triple-Goal Estimates
Shen, W. and Louis, T. A. (2000). Triple-goal estimates for disease mapping. Statistics in Medicine, 19:2295-2308.
Williamson et al (1998). Bandwidths in Kernel Estimation
Williamson, D., McLafferty, S., Goldsmith, V., McGuire, P., and Mollenkopf, J. (1998). Smoothing crime incident data: New methods for determining the bandwidth in kernel estimation. ESRI User Conference 1998.