The confounder matrix: A tool to assess confounding bias in systematic reviews of observational studies of etiology

JM Petersen, M Barrett, KA Ahrens… - Research synthesis …, 2022 - Wiley Online Library
Systematic reviews and meta‐analyses are essential for drawing conclusions regarding
etiologic associations between exposures or interventions and health outcomes …

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 …

Confounding and effect measure modification in reproductive medicine research

KFB Correia, LE Dodge, LV Farland… - Human …, 2020 - academic.oup.com
The majority of research within reproductive and gynecologic health, or investigating ART, is
observational in design. One of the most critical challenges for observational studies is …

[HTML][HTML] Development of outcome-specific criteria for study evaluation in systematic reviews of epidemiology studies

EG Radke, B Glenn, A Galizia, A Persad… - Environment …, 2019 - Elsevier
Introduction and objective Systematic review tools that provide guidance on evaluating
epidemiology studies are receiving increasing attention and support because their …

Preconception exposures and adverse pregnancy, birth and postpartum outcomes: Umbrella review of systematic reviews

M Daly, RR Kipping, LE Tinner… - Paediatric and …, 2022 - Wiley Online Library
Background Preconception exposures have been associated with adverse pregnancy, birth
and postpartum outcomes. However, the reports, statements and guidelines of national and …

[HTML][HTML] Assessing risk of bias and confounding in observational studies of interventions or exposures: further development of the RTI item bank

M Viswanathan, ND Berkman, DM Dryden, L Hartling - 2013 - europepmc.org
Objectives To develop a framework for the assessment of the risk of bias and confounding
against causality from a body of observational evidence, and to refine a tool to aid in …

The curse of the perinatal epidemiologist: inferring causation amidst selection

JM Snowden, ML Bovbjerg, M Dissanayake… - Current epidemiology …, 2018 - Springer
Abstract Purpose of Review Human reproduction is a common process and one that unfolds
over a relatively short time, but pregnancy and birth processes are challenging to study …

Systematic reviews in epidemiology: why are we so far behind?

K Dickersin - International journal of epidemiology, 2002 - academic.oup.com
Systematic reviews of observational studies of aetiology are especially important. Studies of
this type tend to be limited in size and thus by examining multiple similar studies …

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 …

The causal inference framework: a primer on concepts and methods for improving the study of well‐woman childbearing processes

EL Tilden, JM Snowden - Journal of midwifery & women's …, 2018 - Wiley Online Library
The causal inference framework and related methods have emerged as vital within
epidemiology. Scientists in many fields have found that this framework and a variety of …