TY - JOUR
T1 - Making fair comparisons in pregnancy medication safety studies
T2 - An overview of advanced methods for confounding control
AU - Wood, Mollie E.
AU - Lapane, Kate L.
AU - van Gelder, Marleen M.H.J.
AU - Rai, Dheeraj
AU - Nordeng, Hedvig M.E.
N1 - Publisher Copyright:
Copyright © 2017 John Wiley & Sons, Ltd.
PY - 2018/2
Y1 - 2018/2
N2 - Understanding the safety of medication use during pregnancy relies on observational studies: However, confounding in observational studies poses a threat to the validity of estimates obtained from observational data. Newer methods, such as marginal structural models and propensity calibration, have emerged to deal with complex confounding problems, but these methods have seen limited uptake in the pregnancy medication literature. In this article, we provide an overview of newer advanced methods for confounding control and show how these methods are relevant for pregnancy medication safety studies.
AB - Understanding the safety of medication use during pregnancy relies on observational studies: However, confounding in observational studies poses a threat to the validity of estimates obtained from observational data. Newer methods, such as marginal structural models and propensity calibration, have emerged to deal with complex confounding problems, but these methods have seen limited uptake in the pregnancy medication literature. In this article, we provide an overview of newer advanced methods for confounding control and show how these methods are relevant for pregnancy medication safety studies.
UR - http://www.scopus.com/inward/record.url?scp=85041346939&partnerID=8YFLogxK
U2 - 10.1002/pds.4336
DO - 10.1002/pds.4336
M3 - Review article
C2 - 29044735
AN - SCOPUS:85041346939
SN - 1053-8569
VL - 27
SP - 140
EP - 147
JO - Pharmacoepidemiology and Drug Safety
JF - Pharmacoepidemiology and Drug Safety
IS - 2
ER -