Data management analysis
REGRESSION
Collected data (entered using SurveyCTO) was transferred to Excel for preliminary cleaning, then transferred to Stata/IC 15.1 for further management and analysis. Bivariate logistic regression was implemented to examine whether socio-demographic characteristics in the study population differed significantly by study arm at endline (R3-PI). Within each study arm, paired t-tests were implemented to determine whether standardized pregnancy rates (number of pregnancies per 1000 AGYW enrolled at each school) changed significantly over the observation period. Guided by a difference-in-differences approach, we then implemented mixed-effects Poisson regression to determine whether observed changes in standardized pregnancy rates from baseline to endline differed significantly by arm, with the CSE-only arm serving as the referent group in analysis. Statistical significance was determined using a pre-specified alpha threshold of 0.95 (