Document Actions
Count Data (Aggregated to Area)
Up one levelAlbrecht et al. (2004). Geographic Index: Wellbeing
Albrecht, J. and Ramasubramanian, L. (2004). The moving target: A geographic index of relative wellbeing, Journal of Medical Systems 28, 371(384).
Arato et al (2005). Hierarchical Bayes Modeling
Arato, N. M., Dryden, I. L., and Taylor, C. C. (2005). Hierarchical Bayesian modeling of spatial age-dependent mortality. Available at www.maths.nott.ac.uk/personal/ild/papers/aratoetal.pdf
Assuncao (2003). Space Varying Coefficient Models
Assuncao, R. (2003). Space varying coefficient models for small area data. Environmetrics, 14:453-473.
Bell/Broemeling (2000). Bayesian Analysis: Disease Mapping
Bell, B. S. and Broemeling, L. D. (2000). A Bayesian analysis for spatial processes with application to disease mapping. Statistics in Medicine, 19:957-974.
Berke (2004). Kriging of Spatial Risk Function
Berke, Olaf. (2004) Exploratory disease mapping: Kriging the spatial risk function from regional count data. International Journal of Health Geographics, 3:18.
Cowper et al (2004). VHA's Healthcare Atlas
Cowper, D. Yu, W., Kuebeler, M., Kubal, J. D., Manheim, L. M., and Ripley, B. A. (2004). Using GIS in government: An overview of the VHA's Healthcare Atlas, FY2000, Journal of Medical Systems 28, 257(269).
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.
Duczmal/Assuncao (2004). Simulated Annealing Strategy
Duczmal, L. and Assuncao, R. (2004). A simulated annealing strategy for the detection of arbitrarily shaped spatial clusters. Computational Statistics & Data Analysis, 45:269-286.
Gangnon/Clayton (2001). Spatial Clustering Test
Gangnon, R. E. and Clayton, M. K. (2001). A weighted average likelihood ratio test for spatial clustering of disease. Statistics in Medicine, 20:2977-2987.
Gangnon/Clayton (2003). Hierarchical Model
Gangnon, R. E. and Clayton, M. K. (2003). A hierarchical model of spatially clustered disease rates. Statistics in Medicine, 22:3213-3228.
Gebhardt (1999). Cluster Tests Binary Data
Gebhardt, F. (1999). Cluster tests for geographical areas with binary data. Computational Statistics & Data Analysis, 31:39-58.
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.
Gomez-Rubio et al. (2005). Cluster Detection with R
Gomez-Rubio, V., Ferrandiz-Ferragud, J. and Lopez-Quilez, A. (2005). Detecting clusters of disease with R. Journal of Geographical Systems, 7:189-206.
Goovaerts/Jacquez (2004). Lung Cancer Incidence
Goovaerts, P. and Jacquez, G. M. (2004). Accounting for regional background and population size in the detection of spatial clusters and outliers using geo-statistical filtering and spatial neutral models: The case of lung cancer in Long Island, NY, International Journal of Health Geographics, July 23, 3-14.
Greene et al (2005). Space-Time Analysis Meningitis
Greene S. K., Schmidt, M. A., Stobierski, M. G., and Wilson, M. L. (2005). Spatio-temporal pattern of viral meningitis in Michigan, 1993-2001. Journal of Geographical Systems, 7:85-99.
Gregorio et al. (2004). Prostate Cancer & Space
Gregorio, D. I., Kulldorff, M., Sheehan, T. J., and Samociuk, H. (2004). Geographic distribution of prostate cancer incidence in the era of PSA testing, Connecticut, 1984 to 1998, Adult Urology 63, 78(82).
Jackson/Waller (2005). Tango's Index of Clustering
Jackson, M. C. and Waller, L. A. (2005). Exploring goodness-of-fit and spatial correlation using components of tango's index of spatial clustering. Geographical Analysis, 37:371-382.
Johnson (2004). Bayesian Hierarchical Modeling
Johnson, G. D. (2004). Small area mapping of prostate cancer incidence in New York State (USA) using fully Bayesian hierarchical modeling. International Journal of Health Geographics, 3(1):29.
Kafadar (1994). Two-Dimensional Smoother Choices
Kafadar, K. (1994). Choosing among two-dimensional smoothers in practice. Computational Statistics and Data Analysis, 18:419-439.