Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics

CV Ananth, EF Schisterman - American journal of obstetrics and …, 2017 - Elsevier
Prospective and retrospective cohorts and case-control studies are some of the most
important study designs in epidemiology because, under certain assumptions, they can …

An overview of confounding. Part 1: the concept and how to address it

PP Howards - Acta obstetricia et gynecologica Scandinavica, 2018 - Wiley Online Library
Confounding is an important source of bias, but it is often misunderstood. We consider how
confounding occurs and how to address confounding using examples. Study results are …

Conditioning on intermediates in perinatal epidemiology

TJ VanderWeele, SL Mumford, EF Schisterman - Epidemiology, 2012 - journals.lww.com
It is common practice in perinatal epidemiology to calculate gestational-age-specific or birth-
weight-specific associations between an exposure and a perinatal outcome. Gestational age …

Educational note: addressing special cases of bias that frequently occur in perinatal epidemiology

AM Neophytou, MA Kioumourtzoglou… - International journal …, 2021 - academic.oup.com
The epidemiologic study of pregnancy and birth outcomes may be hindered by several
unique and challenging issues. Pregnancy is a time-limited period in which severe cohort …

Historical (retrospective) cohort studies and other epidemiologic study designs in perinatal research

MA Klebanoff, JM Snowden - American journal of obstetrics and …, 2018 - Elsevier
When investigators describe the study design they employed, the term retrospective cohort
commonly is selected and commonly used incorrectly. In a prospective cohort, investigators …

Information bias in epidemiological studies with a special focus on obstetrics and gynecology

US Kesmodel - Acta Obstetricia et Gynecologica Scandinavica, 2018 - Wiley Online Library
Abstract Information bias occurs when any information used in a study is either measured or
recorded inaccurately. This paper describes some of the most common types of information …

On the pitfalls of adjusting for gestational age at birth

AJ Wilcox, CR Weinberg, O Basso - American journal of …, 2011 - academic.oup.com
Preterm delivery is a powerful predictor of newborn morbidity and mortality. Such problems
are due to not only immaturity but also the pathologic factors (such as infection) that cause …

False alarms and pseudo-epidemics: the limitations of observational epidemiology

DA Grimes, KF Schulz - Obstetrics & Gynecology, 2012 - journals.lww.com
Most reported associations in observational clinical research are false, and the minority of
associations that are true are often exaggerated. This credibility problem has many causes …

Causal diagrams and the cross-sectional study

E Shahar, DJ Shahar - Clinical epidemiology, 2013 - Taylor & Francis
The cross-sectional study design is sometimes avoided by researchers or considered an
undesired methodology. Possible reasons include incomplete understanding of the …

Cross‐sectional studies–what are they good for?

US Kesmodel - Acta obstetricia et gynecologica Scandinavica, 2018 - Wiley Online Library
Cross‐sectional studies serve many purposes, and the cross‐sectional design is the most
relevant design when assessing the prevalence of disease, attitudes and knowledge among …