The following data-sets and programs are provided:

analysisall.csv - basic subject data in csv format, containing the following variables
- cluster: id of the cluster where the subject lives
- age: age in months at first survey
- time2, time2: time in months of survey 2 & 3 (relative to survey 1)
- INF1, INF2, INF3: infection status at surveys 1, 2, and 3 (for KA cases)
- elisa1, elisa2, elisa: log-transformed ELISA results
- Tobsall1, Tobsall2, Tobsall3: time (months) infected before surveys 1 to 3
    if first time infected, 0 otherwise (for KA cases)
- INIa1, INIa2, INIa3; INIb1, INIb2, INIb3: two sets of initial values for 
    INF1, INF2, INF3 (for non-KA cases)
- TobsallINIa1, TobsallINIa2, TobsallINIa3; TobsallINIb1, TobsallINIb2,
    TobsallINIb3: two sets of initial values for Tobsall1, Tobsall2, Tobsall3
    (for non-KA cases)
- REint1, REslope1; REint2, REslope2: two sets of initial values for the random
    slopes and intercepts
- elisa1INIa, elisa2INIa, elisa3INIa; elisa1INIb, elisa2INIb, elisa3INIb: 
    two sets of initial values for the ELISA data (when missing)

cluster.csv - basic cluster-level data in csv format, containing the following variables
- cluster: id of the cluster
- intervention: was the cluster in the invtervention group (0=No, 1=Yes)
- pair: randomization pair 

Example Random Intervention Effect Model.r
- r-program providing an example of the random intervention effect model

Example Fixed Intervention Effect Model.r
- r-program providing an example of the fixed intervention effect model

R-programs require R (version 12.1 was used) and libraries R2WinBUGS and BRugs, as well as OpenBUGS version 3.0.3.

