Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics.
about
Activity restriction and risk of preterm delivery.Use of paracetamol, ibuprofen or aspirin in pregnancy and risk of cerebral palsy in the child.Defining failed induction of labor.Causal inference in studies of preterm babies: a simulation study.Cohort studies in the context of obstetric and gynecologic research: a methodologic overview.Cervical funneling or intra-amniotic debris and preterm birth among nulliparous women with a midtrimester cervical length less than 30 mm.Two denominators for one numerator: the example of neonatal mortality.Good Practices for Observational Studies of Maternal Weight and Weight Gain in Pregnancy.Outcomes of subsequent pregnancy following obstetric transfusion in a first birth
P2860
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P2860
Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
Confounding, causality, and co ...... ational studies in obstetrics.
@en
type
label
Confounding, causality, and co ...... ational studies in obstetrics.
@en
prefLabel
Confounding, causality, and co ...... ational studies in obstetrics.
@en
P2860
P1476
Confounding, causality, and co ...... ational studies in obstetrics.
@en
P2093
Cande V Ananth
P2860
P304
P356
10.1016/J.AJOG.2017.04.016
P407
P577
2017-04-17T00:00:00Z