Skip to main content

Table 1 Values used in the simulation study

From: Meta-analysis of incidence rate data in the presence of zero events

 

Assigned values

Methods evaluated

 

Inverse-variance method

 

Inverse-variance method with continuity correction

 

Poisson regression model with fixed intervention effects

 

Poisson regression model with random intervention effects

 

Bayesian Poisson regression model with random intervention effects using inverse-gamma priors for Ï„2

 

Bayesian Poisson regression model with random intervention effects using half-Cauchy priors for Ï„

 

Fixed parameters

 

Incidence rate ratio, exp(βint)

0.2

Time, intervention group, t1

t1∼Uniform(2,5)

Time, control group, t0

t0∼Uniform(2,10)

Number of simulated datasets per scenario, B s

500

Varied parameters

 

Percent of zero counts in the intervention group, Poisson(β1∗0.2)

0.09%, 5%, 14%, 37%, 55%, 82%

Heterogeneity: control and intervention groups, σ,τ

 

Scenario A

(0.1,0.5)

Scenario B

(0.1,2.5)

Scenario C

(1.0,0.5)

Scenario D

(1.0,2.5)

Scenario E

(0.1×β1,2.5)

Number of studies, k

5, 10, 20