Model-based inference for small area estimation with sampling weights.

[1]  Jon Wakefield,et al.  The use of sampling weights in Bayesian hierarchical models for small area estimation. , 2014, Spatial and spatio-temporal epidemiology.

[2]  Jon Wakefield,et al.  A comparison of spatial smoothing methods for small area estimation with sampling weights. , 2014, Spatial statistics.

[3]  Yajuan Si,et al.  Bayesian Nonparametric Weighted Sampling Inference , 2013, 1309.1799.

[4]  Danny Pfeffermann,et al.  New important developments in small area estimation , 2013, 1302.4907.

[5]  Leonhard Held,et al.  Spatio‐temporal disease mapping using INLA , 2011 .

[6]  J. N. K. Rao,et al.  Impact of Frequentist and Bayesian Methods on Survey Sampling Practice: A Selective Appraisal , 2011, 1108.2356.

[7]  Neal Alexander,et al.  Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology , 2011 .

[8]  J. Wakefield,et al.  Bayesian inference for generalized linear mixed models. , 2010, Biostatistics.

[9]  R. Little,et al.  Bayesian penalized spline model-based inference for finite population proportion in unequal probability sampling. , 2010, Survey methodology.

[10]  H. Rue,et al.  Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations , 2009 .

[11]  Jon Wakefield,et al.  Multi-level modelling, the ecologic fallacy, and hybrid study designs. , 2009, International journal of epidemiology.

[12]  Christian P. Robert,et al.  Report of the Editors—2008 , 2009 .

[13]  Andrew B. Lawson,et al.  Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology , 2008 .

[14]  S. Lang,et al.  Simultaneous probability statements for Bayesian P-splines , 2008 .

[15]  F. Breidt,et al.  Non‐parametric small area estimation using penalized spline regression , 2008 .

[16]  Nathaniel Schenker,et al.  Combining Information From Two Surveys to Estimate County-Level Prevalence Rates of Cancer Risk Factors and Screening , 2007 .

[17]  Jiming Jiang,et al.  Mixed model prediction and small area estimation , 2006 .

[18]  P. Diggle.  Applied Spatial Statistics for Public Health Data , 2005 .

[19]  J. N. K. Rao,et al.  Pseudo hierarchical Bayes small area estimation combining unit level models and survey weights , 2003 .

[20]  J. Rao.  Small Area Estimation , 2003 .

[21]  J. N. K. Rao,et al.  A pseudo‐empirical best linear unbiased prediction approach to small area estimation using survey weights , 2002 .

[22]  Andrew B. Lawson,et al.  Spatial cluster modelling , 2002 .

[23]  B. Carlin,et al.  Identifiability and convergence issues for Markov chain Monte Carlo fitting of spatial models. , 2000, Statistics in medicine.

[24]  Bradley P. Carlin,et al.  Generalized Linear Models for Small-Area Estimation , 1998 .

[25]  Donald Malec,et al.  Small Area Inference for Binary Variables in the National Health Interview Survey , 1997 .

[26]  Paul H. C. Eilers,et al.  Flexible smoothing with B-splines and penalties , 1996 .

[27]  T. Mason.  The development of the series of U.S. cancer atlases: implications for future epidemiologic research. , 1995, Statistics in medicine.

[28]  S. Baker.  The Multinomial‐Poisson Transformation , 1994 .

[29]  Thomas W.F. Stroud,et al.  Bayesian analysis of binary survey data , 1994 .

[30]  A. F. M. Smith,et al.  Sampling-resampling techniques for the computation of posterior densities in normal means problems , 1992 .

[31]  Malay Ghosh,et al.  Bayesian Prediction in Linear Models: Applications to Small Area Estimation , 1991 .

[32]  Chris J. Skinner,et al.  Analysis of complex surveys , 1991 .

[33]  J. Besag,et al.  Bayesian image restoration, with two applications in spatial statistics , 1991 .

[34]  R. Fay,et al.  Estimates of Income for Small Places: An Application of James-Stein Procedures to Census Data , 1979 .

[35]  H. Künsch.  Gaussian Markov random fields , 1979 .

[36]  R. Royall.  On finite population sampling theory under certain linear regression models , 1970 .

[37]  D. Horvitz,et al.  A Generalization of Sampling Without Replacement from a Finite Universe , 1952 .

[38]  P. Farrell.  BAYESIAN INFERENCE FOR SMALL AREA PROPORTIONS , 2016 .

[39]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[40]  Håvard Rue,et al.  Norges Teknisk-naturvitenskapelige Universitet Implementing Approximate Bayesian Inference Using Integrated Nested Laplace Approximation: a Manual for the Inla Program Implementing Approximate Bayesian Inference Using Integrated Nested Laplace Approximation: a Manual for the Inla Program , 2022 .

[41]  J. Møller,et al.  Handbook of Spatial Statistics , 2008 .

[42]  M. Wand,et al.  Semiparametric Regression: Parametric Regression , 2003 .

[43]  R. Little,et al.  Penalized Spline Model-Based Estimation of the Finite Populations Total from Probability-Proportional-to-Size Samples , 2003 .

[44]  R. Little,et al.  Inference for the Population Total from Probability-Proportional-to-Size Samples Based on Predictions from a Penalized Spline Nonparametric Model , 2003 .

[45]  Thomas J. Tomberlin,et al.  SMALL AREA ESTIMATES OF PROPORTIONS VIA EMPIRICAL BAYES TECHNIQUES , 2002 .

[46]  Trevor Hastie,et al.  The Elements of Statistical Learning , 2001 .

[47]  A. Winsor.  Sampling techniques. , 2000, Nursing times.

[48]  J. Rao,et al.  On Robust Small Area Estimation Using a Simple Random Effects Model , 1999 .

[49]  C. J. Skinner,et al.  Domain means, regression and multi-variate analysis , 1989 .

[50]  P. Kott.  Robust small domain estimation using random effects modeling , 1988 .

[51]  I. Kemp,et al.  Atlas of cancer in Scotland, 1975-1980 : incidence and epidemiological perspective , 1985 .