Table 3 |
||||||||
|
Confounders included in the different models with the following abbreviations: S: penalized spline (* k = 30, otherwise k = 10), Poly: Polynomial with order in brackets, L: linear term, X: dummies, D: by design. |
||||||||
|
Trend |
Temperature |
Temperature difference |
Relative humidity |
Air pressure |
Weekday |
Holiday |
Population decrease |
|
|
|
||||||||
|
Augsburg |
||||||||
|
Poisson Regression : Final |
S |
- |
L |
- |
- |
X |
- |
- |
|
Poisson Regression : Remove |
S |
- |
- |
- |
- |
- |
- |
- |
|
Poisson Regression : Add |
S |
S |
L |
L |
- |
X |
- |
- |
|
Case-crossover |
D |
- |
L |
- |
- |
D |
- |
- |
|
Extended Cox Regression |
L |
- |
L |
- |
- |
X |
- |
- |
|
Barcelona |
||||||||
|
Poisson Regression : Final |
S |
L |
- |
- |
- |
X |
- |
X |
|
Poisson Regression : Remove |
S |
- |
- |
- |
- |
- |
- |
X |
|
Poisson Regression : Add |
S |
L |
L |
- |
- |
X |
- |
X |
|
Case-crossover |
D |
L |
- |
- |
- |
D |
- |
X |
|
Extended Cox Regression |
L |
L |
- |
- |
- |
X |
- |
X |
|
Helsinki |
||||||||
|
Poisson Regression : Final |
S |
L |
L |
L |
- |
X |
- |
- |
|
Poisson Regression : Remove |
S |
- |
L |
L |
- |
X |
- |
- |
|
Poisson Regression : Add |
S |
S |
S |
L |
- |
X |
- |
- |
|
Case-crossover |
D |
L |
L |
L |
- |
D |
- |
- |
|
Extended Cox Regression |
L |
L |
L |
L |
- |
X |
- |
- |
|
Rome |
||||||||
|
Poisson Regression : Final |
S* |
S |
- |
L |
- |
X |
X |
X |
|
Poisson Regression : Remove |
S* |
L |
- |
L |
- |
X |
- |
- |
|
Poisson Regression : Add |
S* |
S |
- |
S |
- |
X |
X |
X |
|
Case-crossover |
D |
S |
- |
L |
- |
D |
X |
X |
|
Extended Cox Regression |
L |
Poly(2) |
- |
L |
- |
X |
X |
X |
|
Stockholm |
||||||||
|
Poisson Regression : Final |
S |
L |
- |
S |
L |
X |
- |
X |
|
Poisson Regression : Remove |
S |
- |
- |
S |
L |
X |
- |
X |
|
Poisson Regression : Add |
S |
L |
L |
S |
L |
X |
- |
X |
|
Case-crossover |
D |
L |
- |
S |
L |
D |
- |
X |
|
Extended Cox Regression |
L |
L |
- |
Poly(2) |
L |
X |
- |
X |
|
|
||||||||
|
Peters et al. Epidemiologic Perspectives & Innovations 2006 3:10 doi:10.1186/1742-5573-3-10 |
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