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Table 1 Results of estimates for βinf, with its 95% Confidence Intervals (c.i.) in parenthesis. Log likelihood values for each model and lag. Log likelihood values for the null-model were -1827.19 for Model 1 and -1816.85 for Model 2. The significant estimates of βinf are marked with (*) and (**).

From: Occurrence of invasive pneumococcal disease and number of excess cases due to influenza

  Influenza parameter, βinf and its 95% c.i. P-value Log likelihood AIC
Model 1     
No lag 0.05 (-0.05 – 0.15) 0.36 -1826.8 3665.5
1 week lag 0.13 (0.03 – 0.23) 0.012* -1824.0 3660.0
2 weeks lag 0.11 (0.01 – 0.21) 0.029* -1824.8 3661.6
3 weeks lag 0.14 (0.04 – 0.24) 0.005** -1823.2 3658.3
4 weeks lag 0.13 (0.03 – 0.22) 0.008** -1823.7 3659.3
Model 2     
No lag 0.03 (-0.07 – 0.14) 0.81 -1816.8 3663.6
1 week lag 0.105 (-0.001 – 0.211) 0.051 -1814.9 3659.9
2 weeks lag 0.10 (-0.01 – 0.20) 0.120 -1815.6 3661.3
3 weeks lag 0.13 (0.02 – 0.23) 0.021* -1814.2 3658.4
4 weeks lag 0.11 (0.01 – 0.21) 0.031* -1814.5 3659.1