Data Resource Profile: Swedish Microdata Research from Childhood into Lifelong Health and Welfare (Umeå SIMSAM Lab).

Data Resource Profile : Swedish Microdata Research from Childhood into Lifelong Health and Welfare (Umea SIMSAM Lab)

[1]  Guohua Li,et al.  Effects of minimum legal drinking age on alcohol and marijuana use: evidence from toxicological testing data for fatally injured drivers aged 16 to 25 years , 2015, Injury Epidemiology.

[2]  Jenny Häggström,et al.  Targeted smoothing parameter selection for estimating average causal effects , 2013, Computational statistics (Zeitschrift).

[3]  Xavier de Luna,et al.  Data-driven algorithms for dimension reduction in causal inference , 2017, Comput. Stat. Data Anal..

[4]  Ingeborg Waernbaum,et al.  Model misspecification and robustness in causal inference: comparing matching with doubly robust estimation , 2012, Statistics in medicine.

[5]  M. Strömgren,et al.  Neighborhood conditions and celiac disease risk among children in Sweden , 2014, Scandinavian journal of public health.

[6]  P. Johansson,et al.  Non-Parametric Inference for the Effect of a Treatment on Survival Times with Application in the Health and Social Sciences , 2010, SSRN Electronic Journal.

[7]  J. Escarce,et al.  Family Structure and Childhood Obesity: An Analysis Through 8th Grade , 2014, Maternal and Child Health Journal.

[8]  B. Lebwohl,et al.  Celiac disease. , 2019, The Journal of allergy and clinical immunology.

[9]  L. Nyström,et al.  Epidemic of coeliac disease in Swedish children , 2000, Acta paediatrica.

[10]  A. Ivarsson,et al.  Regional inequalities in pre-pregnancy overweight and obesity in Sweden, 1992, 2000, and 2010 , 2015, Scandinavian journal of public health.

[11]  Clyde Hertzman,et al.  Early child development: a powerful equalizer. Final report , 2007 .

[12]  J. Lysholm,et al.  Epidemiologic patterns of injuries treated at the emergency department of a Swedish medical center , 2015, Injury Epidemiology.

[13]  A. Ivarsson,et al.  Celiac disease risk varies between birth cohorts, generating hypotheses about causality: evidence from 36 years of population-based follow-up , 2014, BMC Gastroenterology.

[14]  Kammi K. Schmeer Family structure and obesity in early childhood. , 2012, Social science research.

[15]  A. Ivarsson,et al.  Prevalence of Childhood Celiac Disease and Changes in Infant Feeding , 2013, Pediatrics.

[16]  Sharon H. Bzostek,et al.  Familial instability and young children's physical health. , 2011, Social science & medicine.

[17]  Sharon Friel,et al.  Closing the gap in a generation: health equity through action on the social determinants of health , 2008, The Lancet.

[18]  L. Weinehall,et al.  Trends of blood pressure levels and management in Västerbotten County, Sweden, during 1990–2010 , 2012, Global health action.

[19]  A. Ivarsson,et al.  Maternal and paternal self-rated health and BMI in relation to lifestyle in early pregnancy: The Salut Programme in Sweden , 2011, Scandinavian journal of public health.

[20]  T. Richardson,et al.  Covariate selection for the nonparametric estimation of an average treatment effect , 2011 .

[21]  X. de Luna,et al.  Sensitivity analysis of the unconfoundedness assumption with an application to an evaluation of college choice effects on earnings , 2014 .

[22]  L. Weinehall,et al.  The Västerbotten Intervention Programme: background, design and implications , 2010, Global health action.

[23]  Clyde Hertzman,et al.  Early child development: a powerful equalizer. Final report , 2007 .