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Table 4 Transformed model coefficients showing the direct additive effect on odds given an observed variable’s dynamic range

From: Modeling acute respiratory illness during the 2007 San Diego wildland fires using a coupled emissions-transport system and generalized additive modeling

Odds effects summary

 

San Diego County

Sub regions

Term

Observed data range

Estimated odds effect range

Observed data range

Estimated odds effect range

Intercept

−9.45

7.87E-05

−7.76

4.26E-04

Particulates of Wildfire Origin (μg/m3)

0 – 403.47

1 – 1.41

0 – 587.08

1 – 1.72

Is Monday

{No, Yes}

Yes – 1.17

{No,Yes}

Yes – 1.17

Is Tuesday

{No, Yes}

Yes – 1.07

{No,Yes}

Yes – 1.07

Is SR 3

NA

NA

{No,Yes}

Yes – 0.51

Is SR 6

NA

NA

{No,Yes}

Yes – 1.20

Proportion Income > $50 k

NA

NA

0.30 – 0.55

0.24 – 0.07

Proportion Age <24

NA

NA

0.32 – 0.41

1.74 – 2.01

  1. The values for ‘Estimated Odds Effect Range’ are based on GAM with binomial distribution and logit link.