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Table 2 Results of the negative binominal model fitted on the EHR data (relationship1: disease incidence). Estimates of the fixed effects of the conditional, zero-inflation and dispersion model are given with associated 95% confidence intervals (CI). The number of observations is 445, the Akaike information criterion (AIC) is given by 3143.9 and the first-order autoregressive coefficient is given by 0.92. The original R function call and output, as well as model diagnostics can be found in Appendix A.2.1

From: Overcoming denominator problems in refugee settings with fragmented electronic records for health and immigration data: a prediction-based approach

Model

Variable

incidence rate ratio (IRR)

Lower 95% CI

Upper 95% CI

Conditional

Intercept

3.55

2.00

6.30

adult (10%)

1.03

0.96

1.11

male (10%)

1.12

1.05

1.20

\({\text{n}}_{\text{p}\text{a}\text{t}}/10\)

1.03

1.03

1.03

Zero-inflation

Intercept

0.44

0.26

0.76

\({\text{n}}_{\text{p}\text{a}\text{t}}/10\)

0.93

0.89

0.96

Dispersion

Intercept

3.11

2.52

3.83

Type of centre, REG (ref: REC)

7.05

3.95

12.56