Table 3 Four steps to fit a sigmoid random effects model \(\mathcal {S}_{RE}\) using MCMC
From: Analysis of contamination in cluster randomized trials of malaria interventions
| Input: | Geolocations of households; cluster and intervention assignment of households; trial outcome of interest (malaria prevalence or incidence); technical parameters for the MCMC |
| Output: | Estimated effectiveness and contamination range with 95%CI |
| 1: | Calculate distance to the nearest discordant household |
| 2: | Set up the sigmoid random effects model in JAGS |
| 3: | Fit the sigmoid random effects model |
| 4: | Transform the model output for interpretation |