Sample size and statistical analysis
malaria
REGRESSION, MALARIA
The sample sizes in the Ghana and Malawi trials were based on detecting a small‐to‐moderate Cohen's effect size In Malawi, a total of 1391 women were enrolled (Ashorn, Alho, Ashorn, Cheung, Dewey, Harjunmaa, et al., Our statistical analysis plan was posted online (The analyses were conducted in two stages. In the first stage, we fitted a logistic regression or ANOVA model that included time interval, intervention group, and their interaction (time interval × intervention group). When there was a significant intervention effect (In adjusted analysis, we controlled for prespecified baseline variables, including age, height, BMI, GA, years of education, marital status, household assets index (proxy indicator for socioeconomic status), HFIAS score, the season in which woman was enrolled, primiparity, blood haemoglobin concentration, and positive malaria RDT if they were significantly associated with the outcome at 10% level of significance. Finally, we performed two additional exploratory analyses: first, we used a ‘per protocol’ sensitivity analysis to assess the treatment effect among women considered to have high adherence to supplementation (i.e., added supplements to their foods >70% of days during follow‐up); second, we evaluated potential effect modification (