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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