Environmental and socioeconomic data do not improve the Predicting Asthma Risk in Children (PARC) tool.

[1]  R. Broadwin,et al.  Developing Asthma in Childhood from Exposure to Secondhand Tobacco Smoke: Insights from a Meta-Regression , 2007, Environmental health perspectives.

[2]  P. Townsend,et al.  Health and Deprivation: Inequality and the North , 1987 .

[3]  J. Castro‐Rodriguez,et al.  A clinical index to define risk of asthma in young children with recurrent wheezing. , 2000, American journal of respiratory and critical care medicine.

[4]  Gerben ter Riet,et al.  Predicting asthma in preschool children at high risk presenting in primary care: development of a clinical asthma prediction score , 2014, Primary care respiratory journal : journal of the General Practice Airways Group.

[5]  M. Strippoli,et al.  Cohort profile: the Leicester respiratory cohorts. , 2007, International journal of epidemiology.

[6]  A. Gulsvik,et al.  Pet-keeping in childhood and adult asthma and hay fever: European community respiratory health survey. , 2003, The Journal of allergy and clinical immunology.

[7]  Bert Brunekreef,et al.  Predicting the long-term prognosis of children with symptoms suggestive of asthma at preschool age. , 2009, The Journal of allergy and clinical immunology.

[8]  Maroeska M Rovers,et al.  Prediction of asthma in young adults using childhood characteristics: Development of a prediction rule. , 2006, Journal of clinical epidemiology.

[9]  Lutz Duembgen,et al.  A simple asthma prediction tool for preschool children with wheeze or cough. , 2014, The Journal of allergy and clinical immunology.

[10]  Trevor Hastie,et al.  Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.