Evaluating geographic variation in type 1 and type 2 diabetes mellitus incidence in youth in four US regions.

[1]  Andrew Lawson,et al.  Modeling type 1 and type 2 diabetes mellitus incidence in youth: an application of Bayesian hierarchical regression for sparse small area data. , 2011, Spatial and spatio-temporal epidemiology.

[2]  Andrew Lawson,et al.  Evaluating geographic imputation approaches for zip code level data: an application to a study of pediatric diabetes , 2009, International journal of health geographics.

[3]  C. Davis,et al.  Participation in pediatric epidemiologic research: the SEARCH for Diabetes in Youth Study experience. , 2008, Contemporary clinical trials.

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

[5]  L. Harrison,et al.  The accelerator hypothesis and increasing incidence of type 1 diabetes , 2008, Current opinion in endocrinology, diabetes, and obesity.

[6]  T. Wilkin.  Diabetes: 1 and 2, or one and the same? Progress with the accelerator hypothesis , 2008, Pediatric diabetes.

[7]  Kevin A. Henry,et al.  Estimating the accuracy of geographical imputation , 2008, International journal of health geographics.

[8]  For the Jacc Study Group,et al.  Changing geographical distribution of diabetes mellitus type 1 incidence in Austrian children 1989–2005 , 2008, European Journal of Epidemiology.

[9]  Dana Dabelea,et al.  Incidence of diabetes in youth in the United States. , 2007, JAMA.

[10]  E. Gale,et al.  To boldly go—or to go too boldly? The accelerator hypothesis revisited , 2007, Diabetologia.

[11]  T. Lipman.  Incidence of Type 1 Diabetes in Philadelphia Is Higher in Black Than White Children From 1995 to 1999: Epidemic or Misclassification? , 2007 .

[12]  O. Löfman,et al.  Seasonal variation in the diagnosis of type 1 diabetes in south-east Sweden. , 2007, Diabetes research and clinical practice.

[13]  C. Cardwell,et al.  Secular trends, disease maps and ecological analyses of the incidence of childhood onset Type 1 diabetes in Northern Ireland, 1989–2003 , 2007, Diabetic medicine : a journal of the British Diabetic Association.

[14]  G. Giani,et al.  Socioeconomic conditions and type 1 diabetes in childhood in North Rhine–Westphalia, Germany , 2007, Diabetologia.

[15]  Susan E. Carozza,et al.  An evaluation of spatial and multivariate covariance among childhood cancer histotypes in Texas (United States) , 2007, Cancer Causes & Control.

[16]  C. Cardwell,et al.  Higher incidence of childhood-onset type 1 diabetes mellitus in remote areas: a UK regional small-area analysis , 2006, Diabetologia.

[17]  R. Hamman,et al.  Testing the accelerator hypothesis: body size, beta-cell function, and age at onset of type 1 (autoimmune) diabetes. , 2006, Diabetes care.

[18]  J. Tuomilehto,et al.  A review of the recent epidemiological data on the worldwide incidence of Type 1 (insulin-dependent) diabetes mellitus , 1993, Diabetologia.

[19]  T. Reinehr,et al.  The ‘accelerator hypothesis’: relationship between weight, height, body mass index and age at diagnosis in a large cohort of 9,248 German and Austrian children with type 1 diabetes mellitus , 2005, Diabetologia.

[20]  A. Penttinen,et al.  A hierarchical Bayesian birth cohort analysis from incomplete registry data: evaluating the trends in the age of onset of insulin‐dependent diabetes mellitus (T1DM) , 2005, Statistics in medicine.

[21]  Samuel O. M. Manda,et al.  Detecting small-area similarities in the epidemiology of childhood acute lymphoblastic leukemia and diabetes mellitus, type 1: a Bayesian approach. , 2005, American journal of epidemiology.

[22]  C. Moore,et al.  Dietary patterns, insulin sensitivity and adiposity in the multi-ethnic Insulin Resistance Atherosclerosis Study population. , 2004, The British journal of nutrition.

[23]  F. Cadario,et al.  Younger age at diagnosis of type 1 diabetes mellitus in children of immigrated families born in Italy , 2004, Journal of endocrinological investigation.

[24]  L. Bernardinelli,et al.  Type 1 diabetes among sardinian children is increasing: the Sardinian diabetes register for children aged 0-14 years (1989-1999). , 2004, Diabetes care.

[25]  Renato M Assunção,et al.  Multiple cancer sites incidence rates estimation using a multivariate Bayesian model. , 2004, International journal of epidemiology.

[26]  L. Bernardinelli,et al.  Bayesian approach to study the temporal trend and the geographical variation in the risk of type 1 diabetes. The Sardinian Conscript Type 1 Diabetes Registry , 2004, Pediatric diabetes.

[27]  C. Patterson,et al.  Epidemiology of childhood IDDM in Northern Ireland 1989–1994: Low incidence in areas with highest population density and most household crowding , 1996, Diabetologia.

[28]  SEARCH for Diabetes in Youth: a multicenter study of the prevalence, incidence and classification of diabetes mellitus in youth. , 2004, Controlled clinical trials.

[29]  Thomas O Talbot,et al.  Positional error in automated geocoding of residential addresses , 2003, International journal of health geographics.

[30]  J Tuomilehto,et al.  The incidence of type 1 diabetes among children in Finland--rural-urban difference. , 2003, Health & place.

[31]  T. Waldhör,et al.  Regional distribution of risk for childhood diabetes in Austria and possible association with body mass index , 2003, European Journal of Pediatrics.

[32]  A. Gelfand,et al.  Proper multivariate conditional autoregressive models for spatial data analysis. , 2003, Biostatistics.

[33]  Bradley P. Carlin,et al.  Bayesian measures of model complexity and fit , 2002 .

[34]  S. Freels,et al.  Incidence and onset features of diabetes in African‐American and Latino children in Chicago, 1985–1994 , 2002, Diabetes/metabolism research and reviews.

[35]  J. Tuomilehto,et al.  Bayesian analysis of geographical variation in the incidence of Type I diabetes in Finland , 2001, Diabetologia.

[36]  T. Wilkin.  The accelerator hypothesis: weight gain as the missing link between Type I and Type II diabetes , 2001, Diabetologia.

[37]  G. Law,et al.  Population mixing and childhood diabetes. , 2001, International journal of epidemiology.

[38]  T. Waldhör,et al.  Regional differences and temporal incidence trend of Type I diabetes mellitus in Austria from 1989 to 1999: a nationwide study , 2000, Diabetologia.

[39]  J. Tuomilehto,et al.  Incidence of childhood type 1 diabetes worldwide. Diabetes Mondiale (DiaMond) Project Group. , 2000, Diabetes care.

[40]  J. Tuomilehto,et al.  Worldwide increase in incidence of Type I diabetes – the analysis of the data on published incidence trends , 1999, Diabetologia.

[41]  G. Giani,et al.  Temporal, seasonal, and geographical incidence patterns of Type I diabetes mellitus in children under 5 years of age in Germany , 1999, Diabetologia.

[42]  Andrew Gelman,et al.  General methods for monitoring convergence of iterative simulations , 1998 .

[43]  L. Kuller,et al.  Was There an Epidemic of Diabetes in Nonwhite Adolescents in Allegheny County, Pennsylvania? , 1998, Diabetes Care.

[44]  A. Agresti,et al.  Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions , 1998 .

[45]  R. LaPorte,et al.  Childhood Diabetes in China: Enormous variation by place and ethnic group , 1998, Diabetes Care.

[46]  Shelly Y. Lensing,et al.  Non-Insulin Dependent Diabetes Mellitus in African-American Youths of Arkansas , 1998, Clinical pediatrics.

[47]  F. Alexander,et al.  Small area variation in the incidence of childhood insulin-dependent diabetes mellitus in Yorkshire, UK: links with overcrowding and population density. , 1997, International journal of epidemiology.

[48]  Angela Lee,et al.  Perspectives on … Environmental Systems Research Institute, Inc , 1997 .

[49]  M. Cradock,et al.  Characteristics of youth-onset noninsulin-dependent diabetes mellitus and insulin-dependent diabetes mellitus at diagnosis. , 1997, Pediatrics.

[50]  S. Daniels,et al.  Increased incidence of non-insulin-dependent diabetes mellitus among adolescents. , 1996, The Journal of pediatrics.

[51]  J. Dorman,et al.  Risk Factors for Insulin-Dependent Diabetes , 1996 .

[52]  J. Besag,et al.  On conditional and intrinsic autoregressions , 1995 .

[53]  R. D. Morris,et al.  Aggregation of existing geographic regions to diminish spurious variability of disease rates. , 1993, Statistics in medicine.

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