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We used a distributed lag approach to model the delayed effect of weather on mortality, stratified by cause of death, age, and sex.
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This discrepancy may, at least in part, be explained by background heterogeneities in patients compared with animal models, the delayed monitoring of muscle mass and age-related differences in muscle wasting.
Researchers have represented sEMG signal as an AR model with the delayed intramuscular EMG as the input.
Our reaction model cannot directly handle such delayed reactions, which would require comprehensive modeling of the delayed states.
However, distributed lag models assume the delayed effects are related to the temperature on day t only.
In [28], the authors extended model (2) to the delayed case.
In this paper, particular attention is given to accurately model the delay and the integrator gain in any flow configuration.
According to our model, the delay in the notification of the first case is expected to be 18.6 days on average, ranging from 2 to 58 days (Fig. 2c).
Due to the physiological background of our model, the delays are known and we consider fixed values of τ i and τ e.
In either model, the delay in transport could decrease the rate at which the active enzyme appears in the blood compartment without significantly affecting total tissue Lpl as measured by mobilization by heparin.
In a linear regression model the delay decreased by 10.3% (7.9 12.6%) annually.
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