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Editorial & Opinion

The use of the directed acyclic graph to disentangle confounding variables from causal factors in observational studies.

  • Authors : Pérez-López FR; Aragón Health Research Institute, University of Zaragoza Faculty of Medicine, Zaragoza 50009, Spain. Electronic address: .; Rodríguez I

Subjects: Confounding Factors, Epidemiologic* ; Observational Studies as Topic* ; Causality*

  • Source: Maturitas [Maturitas] 2024 Jul; Vol. 185, pp. 107936. Date of Electronic Publication: 2024 Feb 03.Publisher: Elsevier/North Holland Biomedical Press Country of Publication: Ireland NLM ID: 7807333 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Assessment of unmeasured confounding in the association between perceived discrimination and mental health in a predominantly African American cohort using g-estimation.

  • Authors : Luo J; Department of Public Health Sciences, University of Chicago, Chicago, IL, USA.; Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA.

Subjects: Black or African American*/Black or African American*/Black or African American*/psychology ; Black or African American*/Black or African American*/Black or African American*/statistics & numerical data ; Confounding Factors, Epidemiologic*

  • Source: International journal of epidemiology [Int J Epidemiol] 2024 Jun 12; Vol. 53 (4).Publisher: Oxford University Press Country of Publication: England NLM ID: 7802871 Publication Model: Print Cited Medium: Internet ISSN:

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Editorial & Opinion

Methodological Concerns and Potential Confounding Factors.

  • Authors : Yang X; Eye College, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.; Xue X

Subjects: Confounding Factors, Epidemiologic*; Humans

  • Source: JAMA ophthalmology [JAMA Ophthalmol] 2024 Jun 01; Vol. 142 (6), pp. 587.Publisher: American Medical Association Country of Publication: United States NLM ID: 101589539 Publication Model: Print Cited Medium: Internet ISSN:

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Editorial & Opinion

Methodological Concerns and Potential Confounding Factors-Reply.

  • Authors : Tsang JY; NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, University of Manchester, Manchester, United Kingdom.; NIHR Greater Manchester Patient Safety Research Collaboration, University of Manchester, Manchester, United Kingdom.

Subjects: Confounding Factors, Epidemiologic*; Humans

  • Source: JAMA ophthalmology [JAMA Ophthalmol] 2024 Jun 01; Vol. 142 (6), pp. 587-588.Publisher: American Medical Association Country of Publication: United States NLM ID: 101589539 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

Familial confounding or measurement error? How to interpret findings from sibling and co-twin control studies.

  • Authors : Gustavson K; Department of Psychology, University of Oslo, Oslo, Norway. .; Norwegian Institute of Public Health, Oslo, Norway. .

Subjects: Siblings* ; Bias* ; Confounding Factors, Epidemiologic*

  • Source: European journal of epidemiology [Eur J Epidemiol] 2024 Jun; Vol. 39 (6), pp. 587-603. Date of Electronic Publication: 2024 Jun 16.Publisher: Kluwer Academic Publishers Country of Publication: Netherlands NLM ID: 8508062 Publication Model: Print-Electronic Cited Medium: Internet

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Academic Journal

Comparing the performance of two-stage residual inclusion methods when using physician's prescribing preference as an instrumental variable: unmeasured confounding and noncollapsibility.

  • Authors : Zhang L; Department of Population Health Sciences, University of Leicester, Leicester, LE1 7RH, UK.; Lewsey J

Subjects: Practice Patterns, Physicians'*/Practice Patterns, Physicians'*/Practice Patterns, Physicians'*/statistics & numerical data ; Confounding Factors, Epidemiologic*; Humans

  • Source: Journal of comparative effectiveness research [J Comp Eff Res] 2024 May; Vol. 13 (5), pp. e230085. Date of Electronic Publication: 2024 Apr 03.Publisher: Becaris Publishing Country of Publication: England NLM ID: 101577308 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Editorial & Opinion

Significance of Confounding Factors in Retrospective Observational Studies.

  • Authors : Ergun Y; Yakup Ergun, MD, Department of Medical Oncology, Batman World Hospital, Batman, Turkey.

Subjects: Confounding Factors, Epidemiologic* ; Observational Studies as Topic*; Humans

  • Source: JCO oncology practice [JCO Oncol Pract] 2024 Jan; Vol. 20 (1), pp. 154-155. Date of Electronic Publication: 2023 Nov 07.Publisher: American Society of Clinical Oncology Country of Publication: United States NLM ID: 101758685 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Addressing unmeasured confounders in cohort studies: Instrumental variable method for a time-fixed exposure on an outcome trajectory.

Subjects: Confounding Factors, Epidemiologic*; Humans ; Cohort Studies

  • Source: Biometrical journal. Biometrische Zeitschrift [Biom J] 2024 Jan; Vol. 66 (1), pp. e2200358. Date of Electronic Publication: 2023 Dec 14.Publisher: Wiley-VCH Verlag GmbH & Co. KGaA Country of Publication: Germany NLM ID: 7708048 Publication Model: Print-Electronic Cited Medium: Internet

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Academic Journal

Investigation of the structure and magnitude of time-varying uncontrolled confounding in simulated cohort data analyzed using g-computation.

  • Authors : Soohoo M; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.; Arah OA

Subjects: Confounding Factors, Epidemiologic*; Humans ; Bias

  • Source: International journal of epidemiology [Int J Epidemiol] 2023 Dec 25; Vol. 52 (6), pp. 1907-1913.Publisher: Oxford University Press Country of Publication: England NLM ID: 7802871 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

A Potential Outcomes Approach to Selection Bias.

  • Authors : Kenah E; From the Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH.

Subjects: Confounding Factors, Epidemiologic*; Selection Bias ; Humans

  • Source: Epidemiology (Cambridge, Mass.) [Epidemiology] 2023 Nov 01; Vol. 34 (6), pp. 865-872. Date of Electronic Publication: 2023 Sep 14.Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 9009644 Publication Model: Print-Electronic Cited Medium:

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  • 1-10 of  10,816 results for ""Confounding Factors, Epidemiologic""