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Table 2 Results of multilevel logistic regression

From: A country bug in the city: urban infestation by the Chagas disease vector Triatoma infestans in Arequipa, Peru

 

Model 0

Model 1

Model 2

Household-level fixed effects: odds ratio (95% CI)

Housing density (households/hectare)

2 – 24*

 

1.00

1.00

24 – 30

 

1.23 (1.10 – 1.37)

1.22 (1.10 – 1.37)

30 – 34

 

1.44 (1.29 – 1.61)

1.44 (1.29 – 1.61)

34 – 39

 

1.57 (1.39 – 1.76)

1.56 (1.39 – 1.75)

39 – 77

 

1.74 (1.54 – 1.97)

1.73 (1.53 – 1.96)

Land surface temperature (°C)

26 – 40

 

1.10 (1.08 – 1.13)

1.10 (1.08 – 1.13)

Elevation (meters above sea level)

2120 – 2260*

 

1.00

1.00

2260 – 2300

 

1.44 (1.18 – 1.76)

1.48 (1.21 – 1.82)

2300 – 2350

 

1.89 (1.49 – 2.41)

1.99 (1.57 – 2.53)

2350 – 2450

 

2.12 (1.63 – 2.76)

2.28 (1.75 – 2.98)

2450 – 2670

 

1.39 (1.07 – 1.82)

1.49 (1.14 – 1.94)

Locality-level fixed effects: odds ratio (95% CI)

Shantytown

  

1.75 (1.24 – 2.47)

IOR: (0.30 – 10.26)

Locality-level random effects

Variance (95% CI)

1.12 (0.84 – 1.49)

1.03 (0.77 – 1.37)

0.95 (0.71 – 1.27)

Change in variance

 

−8.1%

−7.4%

Median odds ratio

2.74

2.63

2.54

Likelihood ratio test (p-value)

v. logistic model

< 0.0001

< 0.0001

< 0.0001

v. multilevel model

 

< 0.0001

0.0015

AIC

30,467

30,269

30,261

  1. *Referent category.
  2. Multilevel versus ordinary logistic regression.
  3. Multilevel model n + 1 versus model n.
  4. 95% CI: 95% confidence interval.
  5. IOR: interval odds ratio.
  6. AIC: Akaike information criteria.