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 …
important study designs in epidemiology because, under certain assumptions, they can …
[PDF][PDF] Confounding, Causality and Confusion: The Role of Intermediate Variables in Interpreting Observational Studies in Obstetrics
Am J Obstet Gynecol, 2017 - ous-research.no
Both prospective and retrospective cohort, and case-control studies are some of the most
important study designs in epidemiology because, under certain assumptions, they can …
important study designs in epidemiology because, under certain assumptions, they can …
Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics
CV Ananth, EF Schisterman - American journal of obstetrics …, 2017 - pure.johnshopkins.edu
Prospective and retrospective cohorts and case-control studies are some of the most
important study designs in epidemiology because, under certain assumptions, they can …
important study designs in epidemiology because, under certain assumptions, they can …
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 - europepmc.org
Both prospective and retrospective cohort, and case-control studies are some of the most
important study designs in epidemiology because, under certain assumptions, they can …
important study designs in epidemiology because, under certain assumptions, they can …
Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics
CV Ananth, EF Schisterman - American journal of obstetrics …, 2017 - jhu.pure.elsevier.com
Prospective and retrospective cohorts and case-control studies are some of the most
important study designs in epidemiology because, under certain assumptions, they can …
important study designs in epidemiology because, under certain assumptions, they can …
Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics
CV Ananth, EF Schisterman - American journal of …, 2017 - pubmed.ncbi.nlm.nih.gov
Prospective and retrospective cohorts and case-control studies are some of the most
important study designs in epidemiology because, under certain assumptions, they can …
important study designs in epidemiology because, under certain assumptions, they can …
Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics
CV Ananth, EF Schisterman - American Journal of Obstetrics & Gynecology, 2017 - ajog.org
Prospective and retrospective cohorts and case-control studies are some of the most
important study designs in epidemiology because, under certain assumptions, they can …
important study designs in epidemiology because, under certain assumptions, they can …
[HTML][HTML] 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 - ncbi.nlm.nih.gov
Both prospective and retrospective cohort, and case-control studies are some of the most
important study designs in epidemiology because, under certain assumptions, they can …
important study designs in epidemiology because, under certain assumptions, they can …
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 - europepmc.org
Both prospective and retrospective cohort, and case-control studies are some of the most
important study designs in epidemiology because, under certain assumptions, they can …
important study designs in epidemiology because, under certain assumptions, they can …