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Table 3 Model results for the logit regression (Equation 1)

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

Model results summary

 

San Diego County

Sub region

Term

R2 (adj)

Deviance explained

Estimate

Standard error

p

R-sq. (adj)

Deviance explained

Estimate

Standard error

p

Intercept

  

−7.87E-5

5.75E-07

<0.001

  

4.26E-4

1.27E-4

<0.001

Particulates of Wildfire Origin (μg/m3)

1.0010

.0009

<0.001

1.00093

.00012

<0.001

Is Monday

1.172

.020

<0.001

1.174

.019

<0.001

Is Tuesday

1.075

.019

<0.001

1.072

.018

<0.001

Is SRA3

0.75

76.60%

NA

NA

NA

0.63

75.80%

.512

.018

<0.001

Is SRA6

NA

NA

NA

1.209

.029

<0.001

Proportion Income > $50 k

NA

NA

NA

.0087

.0024

<0.001

Proportion Age <24

NA

NA

NA

5.584

2.915

<0.001

F(Anthropogenic PM2.5)

NA

NA

<0.001*

NA

NA

<0.001*

F(Relative Humidity, Temperature)

NA

NA

<0.001*

NA

NA

<0.001*

  1. Coefficients indicate the effect on modeled odds of the observation values.
  2. *Chi-squared test.