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In contrast, we treated the selection of the lag time as a model selection problem, where the smoothed functions of the residences at specific lag times are treated as model terms; the term that best explains disease risk suggests the most relevant lag time.
Considering the temperature effect at specific lag periods, the effects of temperature at lag days 2-7 and 8-14 westimatedated at 0.4-0.8 0.4-0.8C reduction in temperature in all models, with no evidence of non-linearity in these effects.
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However, considering the number of observations (77), the number of analysed terms (20), the number of lags included in the transfer functions (12) and seasonal adjustments, it is difficult to exclude the possibility that the low number of statistically significant connections at specific lags may result from statistical error.
However, these variables are predictive at specific lags of time.
The transitional (TR) and the extreme moist tropical (MT+/MT++) air masses also showed significant effects, but only at specific lags: lags 3 and 4, and same day, respectively.
We vary the lag from 1 to 24 months to check if the results depend on a specific lag.
The finding may reflect the fact that NO2 is associated at extended lags, or it may be only an artifact due to our method of choosing the specific lag to be included in the meta-analysis.
Often these variables are predictive at specific time lags.
Additionally, using a single lag at specific time periods (1, 4, and 8 hr before F eNO collection) for the children not prescribed ICS, we found a 7-ppb increase in F eNO for a 10-μg/m increase in PM2.5 exposure 1 hr earlier and a 6.3-ppb increase associated with an 10-μg/m increase in PM2.5 4 hr earlier.
For time lags to benefit at specific thresholds of absolute risk reduction, 4.8 years (2.0 to 9.7) were needed before one colorectal cancer death was prevented for 5000 people screened, and 10.3 years (6.0 to 16.4) were needed before one colorectal cancer death was prevented for 1000 persons screened.
§ City-specific lags from the distributed lag model; 1998 2002.
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