Validity analysis
REGRESSION
We aimed to match the known pregnancy outcome dates in the prospective data (We presented a table to compare agreement by date, sex, and pregnancy and neonatal outcomes stratified by pregnancy and neonatal outcome according to the prospective data. We assessed the individual validity of the three pregnancy and neonatal outcomes reported in the pregnancy history survey by estimating sensitivity, specificity, positive predictive value, negative predictive value, and proportion correctly classified for each outcome. We used a logistic regression model with generalized estimating equations, to account for correlation associated with reporting of ≥ 1 singleton pregnancies for each woman, to estimate adjusted odds ratios and 95% confidence intervals of non-matched pregnancy outcomes by participant characteristics.We graphed pregnancy outcomes that did not match within ± 30 days from both data sources (