Statistical analysis
malaria, infections
MALARIA, REGRESSION, INFECTIONS
The main outcome was the incidence of clinical malaria during the follow-up period for a pair-wise comparison between any of the intervention arms i.e. SMC-AZc or SMC-APd Data were captured using eCRF designed on REDCap software and analysed with Stata 14 software (StataCorp). Statistical analysis was undertaken as outlined in the detailed study protocol published previously [The effect of the intervention on uncomplicated malaria and on all-cause morbidity was assessed through the diagnosis at each attendance to health facilities (unscheduled visits), while asymptomatic infections were detected during monthly home visits using negative binomial regression, with results expressed as incidence risk ratio (IRR). For this, baseline adjustments were made for age, gender and the use of insecticide-treated bed nets, as they generally improve the precision of the treatment contrasts.The risk of severe malaria was investigated using logistic regression. Similar predictors were used, as aforementioned. Variables with a P < 0.20 in univariate analyses were included in multivariable analyses.