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Addresses
effects in narrow time window
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Involves
multiple regression analysis of long series
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of
daily observations
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Large
number of studies have reported significant
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associations
between daily deaths and/or hospital
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visit
counts and daily average air pollution.
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Time
series design avoids spatial confounding;
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however,
temporal confounding due to seasons and
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weather
must be addressed.
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Particles
often appear most important, but CO,
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SO2,
NO2, and/or ozone may also play roles.
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For
example, NMMAPS Study
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