Table 1 Poisson regression results using untransformed explanatory variables.

From: Spatial analysis of the geographical distribution of thyroid cancer cases from the first-round thyroid ultrasound examination in Fukushima Prefecture

Variable name

unit

Exp (coefficient of explanatory variable)

p-value of Wald test

Residual Deviance

AIC

Estimate

95% CI

(Null model)

NA

NA

 

NA

46.852

126.92

Proportion of estimated external radiation dose ≥1 mSv

proportion among surveyed people

1.041

(0.616, 1.758)

0.882

46.830

128.89

Distance from the FNPP

1 km

0.997

(0.988, 1.006)

0.503

46.399

128.46

Altitude

100 m

1.078

(0.944, 1.231)

0.269

45.649

127.71

Population density

1000 persons per square kilometre

1.243

(0.274, 5.647)

0.778

46.773

128.84

Proportion of workers in agriculture, forestry and fisheries industries

proportion among workers

0.979

(0.939, 1.021)

0.317

45.800

127.86

Unemployment

proportion among labour force

9.823 × 104

(0.006, 1.749 × 1012)

0.177

45.025

127.09

Proportion of professional and technical workers

proportion among workers

3.091

(0.001, 7.773 × 103)

0.778

46.772

128.84

  1. Each row represents a univariate Poisson regression model using one explanatory variable shown in the 1st column (only the null model does not have any explanatory variable). Estimates of intercept terms were omitted. n = 59 (municipalities) for all of the models.
  2. If the p-value of Wald test is small, it indicates that the coefficient is considerably different from zero. AIC, Akaike information criterion; FNPP, Fukushima Daiichi Nuclear Power Plant; N/A, not applicable; CI, confidence interval.
Back to article page