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Sensitivity Analyses
Up one levelBoehning et al. (2004). Comparison of Estimators
Boehning, D., Sarol, J., Tattanasiri, S., Viwatwongkasem, C., and Biggeri, A. (2004). Comparison of non-iterative and iterative estimators of heterogeneity variance for the standardized mortality ratio. Biostatistics, 5(1):61–74.
Clayton/Kaldor (1987). Empirical Bayes Estimates
Clayton D., Kaldor J. (1987). Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics, Sep. 43(3):671-81.
Colonna (2004). Bootstrap Investigation
Colonna, M. (2004). Bootstrap investigation of the stability of disease mapping of Bayesian cancer relative risk estimations. Journal of Epidemiology, 19:761-768.
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.
Gelman et al (2000). Headbanging Application
Gelman A., Price P.N., Lin C.Y. (2000). A method for quantifying artefacts in mapping methods illustrated by application to headbanging. Statistics in Medicine, Sep 15-30;19(17-18):2309-20.
Gelman/Price (1999). Maps and Parameter Estimates
Gelman, A. and Price, P. N. (1999). All maps of parameter estimates are misleading. Statistics in Medicine, 18:3221-3234.
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 (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.
Kulldorff et al. (2003). Power Comparisons Cluster Tests
Kulldorff, M., Tango, T., and Park, P. J. (2003). Power comparisons for disease clustering tests. Computational Statistics & Data Analysis, 42:665-684. --- Ozonoff, A., Bonetti, M., Forsberg, L., and Pagano, M. (2005). Power comparisons for an improved disease clustering test. Computational Statistics & Data Analysis, 48:679-684.
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.
Meza (2003). Empirical Bayes Estimation Smoothing
Meza, J. L. (2003). Empirical Bayes estimation smoothing of relative risks in disease mapping. Journal of Statistical Planning and Inference, 112:43-62.
Mungiole et al. (1999). Weighted Head-Banging Algorithm
Mungiole, M., Pickle, L. W., and Simonson, K. H. (1999). Application of a weighted head-banging algorithm to mortality data maps. Statistics in Medicine, 18:3201-3209.
Okabe et al (1995). Points on a Network
Okabe, A., Yomono, H., and Kitamura, M. (1995). Statistical analysis of the distribution of points on a network. Geographical Analysis, 27(2):152-175.
Ozonoff et al (2005). Cluster Methods Applied
Ozonoff, A., Webster, T., Vieira, V., Weinberg, J., Ozonoff, D., and Aschengrau, A. (2005). Cluster detection methods applied to the upper Cape Cod cancer data. Environmental Health: A Global Access Science Source, 4(19).
Shen/Louis (1998). 3-Goal Estimates in Hierarchical Models
Shen, W. and Louis, T. A. (1998). Three-goal estimates in two-stage hierarchical models. Journal of the Royal Statistical Society, Series B (Statistical Methodology), 60(2):455-471.
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.
Talbot et al. (2000). Evaluation of Spatial Filters
Talbot, T. O., Kulldorff, M., Forand, S. P., and Haley, V. B. (2000). Evaluation of spatial filters to create smoothed maps of health data. Statistics in Medicine, 19:2399-2408.
Thomas/Carlin (2003). Spatial Smoothing & Clustering
Thomas A., Carlin B.P. (2003). Late detection of breast and colorectal cancer in Minnesota counties: An application of spatial smoothing and clustering. Stat Med., Jan 15;22(1):113-27.