Pregnancy cohorts built from observed deliveries or outcomes are biased when outcomes are missing, while cohorts including all pregnancies are unbiased only when missingness is due to measured covariates.
Treatments for pregestational chronic conditions during pregnancy: emulating a target trial with a treatment decision design
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
As a solution to methodologic challenges inherent to estimating causal effects of exposures in early pregnancy, we suggest emulating a target trial using a treatment decision design, wherein time zero is centered around clinical landmarks where treatment decisions may occur, such as the date of preconception counseling or prenatal care initiation. These ideas are illustrated via protocols for two target trials in large administrative databases, antidepressant use for pre-existing depressive disorder and antihypertensive medication use for mild-to-moderate chronic hypertension. Careful consideration of these issues is critical to the identification of the causal effects of early-pregnancy pharmacotherapies on pregnancy outcomes.
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Bias in studies of prenatal exposures using real-world data due to pregnancy identification method
Pregnancy cohorts built from observed deliveries or outcomes are biased when outcomes are missing, while cohorts including all pregnancies are unbiased only when missingness is due to measured covariates.