Spatial smoothing models to deal with the complex sampling design and nonresponse in the Florida BRFSS survey

Beaumont, 2008, A new approach to weighting and inference in sample surveys, Biometrika, 95, 539, 10.1093/biomet/asn028 Besag, 1991, Bayesian image restoration with two applications in spatial statistics, Ann. Inst. Stat. Math.k, 43, 1, 10.1007/BF00116466 Brewer, 1963, A model of systematic sampling with unequal probabilities, Aust. N. Z. J. Stat., 5, 5, 10.1111/j.1467-842X.1963.tb00132.x Carpenter, 2013 Carpenter, 2006, A comparison of multiple imputation and doubly robust estimation for analyses with missing data, J. R. Stat. Soc. Ser. A, 169, 571, 10.1111/j.1467-985X.2006.00407.x Chambers, 2003 Chen, 2015, The use of sampling weights in bayesian hierarchical models for small area estimation, Spatial and Spatio-Temporal Epidemiology, 11, 33, 10.1016/j.sste.2014.07.002 Chen, 2017, Approaches to improving survey-weighted estimates, Stat. Sci., 32, 227, 10.1214/17-STS609 Efron, 1979, Data analysis using Stein’s estimator and its generalizations, J. Am. Stat. Assoc., 70, 311, 10.1080/01621459.1975.10479864 Elliott, 2001 Gelman, 2007, Struggles with survey weighting and regression modeling, Stat. Sci., 22, 153, 10.1214/088342306000000691 Goovaerts, 2010, Geostatistical analysis of county-level lung cancer mortality rates in the southeastern united states, Geogr. Anal., 42, 32, 10.1111/j.1538-4632.2009.00781.x Goovaerts, 2017, Geostatistical interpolation of rate data using poisson kriging Groves, 2004 Hajek, 1971, Comment on “an essay on the logical foundations of survey sampling” Horvitz, 1952, A generalization of sampling without replacement from a finite universe, J. Am. Stat. Assoc., 47, 663, 10.1080/01621459.1952.10483446 Lawson, 2013 Little, 1982, Models for nonresponse in sample surveys, J. Am. Stat. Assoc., 77, 237, 10.1080/01621459.1982.10477792 Little, 2007, Comment on “ struggles with survey weighting and regression modeling, Stat. Sci., 22, 171, 10.1214/088342307000000186 Little, 1987 Little, 2002 Lumley, 2015, AIC and BIC for modeling with complex survey data, J. Surv. Stat. Methodol., 3, 1, 10.1093/jssam/smu021 Mercer, 2014, A comparison of spatial smoothing methods for small area estimation with sampling weights, Spat. Stat., 8, 69, 10.1016/j.spasta.2013.12.001 Molenberghs, 2007 Molenberghs, 2005 Raghunathan, 2007, Combining information from two surveys to estimate county-level prevalance rates of cancer risk factors and screening, J. Am. Stat. Assoc., 102, 474, 10.1198/016214506000001293 Rao, 2011, Impact of frequentist and Bayesian methods on survey sampling practice: a selective appraisal, Stat. Sci., 36, 240, 10.1214/10-STS346 Royall, 1970, On finite population sampling theory under certain linear regression models, Biometrika, 52, 377, 10.1093/biomet/57.2.377 Rubin, 1976, Inference and missing data, Biometrika, 63, 581, 10.1093/biomet/63.3.581 Rubin, 1987 Rue, 2005 Rue, 2009, Approximate Bayesian inference for latent gaussian models by using integrated nested laplace approximations, J. R. Stat. Soc. Ser. B, 71, 319, 10.1111/j.1467-9868.2008.00700.x Smith, 2014, Health insurance coverage in the united states: 2013 Spiegelhalter, 2002, Bayesian measures of model complexity and fit, J. R. Stat. Soc., 64, 583, 10.1111/1467-9868.00353 Vandendijck, 2016, Model-based inference for small area estimation with sampling weights, Spat. Stat., 18, 455, 10.1016/j.spasta.2016.09.004 Verbeke, 2000 Waller, 2004 Watjou, 2017, Spatial small area smoothing models for handling survey data with nonresponse, Stat. Med., 36, 3708, 10.1002/sim.7369