Figures & data
Figure 4 Asthma daily admissions and predictive model based on month and week day. (A) Model development sample (hold-in dataset). (B) Model validation sample (hold-out dataset).
![Figure 4 Asthma daily admissions and predictive model based on month and week day. (A) Model development sample (hold-in dataset). (B) Model validation sample (hold-out dataset).](/cms/asset/6d5b3643-d3c5-4b1b-b20a-7884b587aeab/dijg_a_34647_f0004_c.jpg)
Figure 5 Asthma daily admissions and predictive model based on season month and week day. (A) Model development sample (hold-in dataset). (B) Model validation sample (hold-out dataset).
![Figure 5 Asthma daily admissions and predictive model based on season month and week day. (A) Model development sample (hold-in dataset). (B) Model validation sample (hold-out dataset).](/cms/asset/be25c79b-6e49-4e43-a54d-969b9f8c6bc5/dijg_a_34647_f0005_c.jpg)
Table 1 Bivariate temporal models of daily asthma admissions in London for 2001–2005
Table 2 Multivariable temporal models of asthma daily admissions in London, 2001–2005
Table 3 Comparison of model fitness using the Akaike information criterion