Hypothesised directed acyclic graph on the association between migration status and mortality.

Using causal diagrams to understand common problems in social epidemiology

M. Maria Glymour

January 2006

Epidemiologists typically seek to answer causal questions using statistical data:we observe a statis...

Law, Graham R.
Green, Rosie
Ellison, George T. H.

February 2012

The issue of confounding, and the bias it can induce, is a key concern in epidemiology, and yet ther...

Directed Acyclic Graph (DAG) depicting relationships between neighbourhood socioeconomic disadvantage, obesogenic environments, and body size (body mass index and waist circumference).

Suzanne J. Carroll (8269239)
Michael J. Dale (8911325)
Gavin Turrell (636455)

January 2023

Variables included in analyses are denoted by boxes with solid outlines. Boxes with dashed lines and...

Directed acyclic graph of the assumed relationship between education and mortality with paths used for identifying potential confounding and mediating factors.

Merete Osler (231830)
Eva Prescott (288301)
Ida Kim Wium-Andersen (819842)
Else Helene Ibfelt (819843)
Martin Balslev Jørgensen (819844)
Per Kragh Andersen (358721)
Terese Sara Høj Jørgensen (819845)
Marie Kim Wium-Andersen (819846)
Solvej Mårtensson (517447)

October 2015

Directed acyclic graph of the assumed relationship between education and mortality with paths use...

Directed acyclic graph (DAG) showing the theoretical model informing analysis.

Britt Skaathun (2936985)
Francesca Maviglia (14266363)
Anh Vo (1508722)
Allison McBride (14266366)
Sarah Seymour (14266369)
Sebastian Mendez (14266372)
Gregg Gonsalves (848649)
Leo Beletsky (352913)

December 2022

The green variable represents the exposure variable; the blue variable represents the outcome variab...

Directed acyclic graph (DAG) guiding the analysis and showing hypothesized relationships between predictors, outcome, and covariates in this study.

Rosa Sunol (504149)
Cordula Wagner (504147)
Onyebuchi A. Arah (177956)
Solvejg Kristensen (766547)
Holger Pfaff (504150)
Niek Klazinga (828988)
Caroline A. Thompson (504145)
Aolin Wang (828989)
Maral DerSarkissian (504144)
Paul Bartels (385821)
Philippe Michel (828990)
Oliver Groene (4538485)

November 2015

Directed acyclic graph (DAG) used to guide the analysis and showing hypothesized relationships be...

Using directed acyclic graphs to understand confounding in observational studies.

DALLOLIO, LAURA
FANTINI, MARIA PIA
R. Bellocco
L. Richiardi
the Causal Inference In Epidemiology SISMEC Working Group

January 2009

The goal of most epidemiological studies is to determine an unbiased estimate of the effect of being...

DAGs of occupation and COVID V1.pdf

Wilkinson, Jack
Beale, Sarah
Cherrie, Mark
Edge, Rhiannon
Fishwick, David
Gittins, Matthew
Katikireddi, S. Vittal
Mcelvenny, Damien
Nafilyan, Vahe
Pearce, Neil
Rhodes, Sarah
Van Tongeren, Martie
Division of Population Health, Health Services Research & Primary Care (L5)
University College London (UCL)
Institute of Occupational Medicine
Lancaster University
University of Glasgow
Office for National Statistics
London School of Hygiene & Tropical Medicine

October 2021

Directed acyclic graphs (DAGs) may be used to represent our knowledge (or assumptions) about a data-...

Direct Acyclic Graph (DAG) for the association of low educational status and Major Cardiovascular Events with results from Structural Equation Model.

Fulvio Ricceri (300193)
Carlotta Sacerdote (140075)
Maria Teresa Giraudo (3202761)
Francesca Fasanelli (628433)
Giulia Lenzo (3202758)
Matteo Galli (2317780)
Sabina Sieri (229287)
Valeria Pala (156538)
Giovanna Masala (147462)
Benedetta Bendinelli (140069)
Rosario Tumino (43188)
Graziella Frasca (735672)
Paolo Chiodini (586278)
Amalia Mattiello (140078)
Salvatore Panico (115120)

October 2016

Direct Acyclic Graph (DAG) for the association of low educational status and Major Cardiovascular...

Correspondence to:

N L Fleischer
A V Diez Roux
Dr A V Diez Roux

January 2007

Background: Directed acyclic graphs, or DAGs, are a useful graphical tool in epidemiologic research ...

Directed acyclic graph (DAG) showing the instrumental variable assumptions underpinning our Mendelian randomisation study (note the instrument is not allowed to have a direct effect on the outcome, hence this line is dashed).

Evropi Theodoratou (149881)
Tom Palmer (159714)
Lina Zgaga (149875)
Susan M. Farrington (149988)
Paul McKeigue (34425)
Farhat V. N. Din (159727)
Albert Tenesa (107674)
George Davey-Smith (151784)
Malcolm G. Dunlop (112872)
Harry Campbell (30339)

June 2012

Instrumental variable models use associations C and A to estimate the causal effect of a risk fac...

A directed acyclic graph representing the causal relationships between adherence club participation, outcomes, baseline and time-updated covariates.

Miguel Angel Luque-Fernandez (281750)
Gilles Van Cutsem (2589493)
Eric Goemaere (129370)
Katherine Hilderbrand (129362)
Michael Schomaker (138489)
Nompumelelo Mantangana (281751)
Shaheed Mathee (281752)
Vuyiseka Dubula (281753)
Nathan Ford (59436)
Miguel A. Hernán (281754)
Andrew Boulle (93997)

February 2013

A directed acyclic graph representing the causal relationships between adherence club participati...

Using directed acyclic graphs to consider adjustment for socioeconomic status in occupational cancer studies

L. Richiardi
BARONE ADESI, Francesco
MERLETTI, Franco
N. Pearce

January 2008

There is an ongoing debate on whether analyses of occupational studies should be adjusted for socioe...

Directed Acyclic Graph (DAG) to represent the relationship between area-level income inequality and individual-level oral health outcomes.

Ankur Singh (3904732)
Jane Harford (4794750)
José Leopoldo Ferreira Antunes (432394)
Marco A. Peres (4794747)

January 2018

Directed Acyclic Graph (DAG) to represent the relationship between area-level income inequality a...

Directed acyclic graph (DAG) representing conditional independencies (by the absence of arrows) between the genetic instrument Z, the risk factor X, the outcome Y and the confounders U.

Philippe Vuistiner (157741)
Murielle Bochud (93046)
Valentin Rousson (157747)

February 2013

Directed acyclic graph (DAG) representing conditional independencies (by the absence of arrows) b...

Using causal diagrams to understand common problems in social epidemiology

M. Maria Glymour

January 2006

Epidemiologists typically seek to answer causal questions using statistical data:we observe a statis...

Confounding and causal path diagrams

Law, Graham R.
Green, Rosie
Ellison, George T. H.

February 2012

The issue of confounding, and the bias it can induce, is a key concern in epidemiology, and yet ther...

Directed Acyclic Graph (DAG) depicting relationships between neighbourhood socioeconomic disadvantage, obesogenic environments, and body size (body mass index and waist circumference).

Suzanne J. Carroll (8269239)
Michael J. Dale (8911325)
Gavin Turrell (636455)

January 2023

Variables included in analyses are denoted by boxes with solid outlines. Boxes with dashed lines and...

Directed acyclic graph of the assumed relationship between education and mortality with paths used for identifying potential confounding and mediating factors.

Merete Osler (231830)
Eva Prescott (288301)
Ida Kim Wium-Andersen (819842)
Else Helene Ibfelt (819843)
Martin Balslev Jørgensen (819844)
Per Kragh Andersen (358721)
Terese Sara Høj Jørgensen (819845)
Marie Kim Wium-Andersen (819846)
Solvej Mårtensson (517447)

October 2015

Directed acyclic graph of the assumed relationship between education and mortality with paths use...

Directed acyclic graph (DAG) showing the theoretical model informing analysis.

Britt Skaathun (2936985)
Francesca Maviglia (14266363)
Anh Vo (1508722)
Allison McBride (14266366)
Sarah Seymour (14266369)
Sebastian Mendez (14266372)
Gregg Gonsalves (848649)
Leo Beletsky (352913)

December 2022

The green variable represents the exposure variable; the blue variable represents the outcome variab...

Directed acyclic graph (DAG) guiding the analysis and showing hypothesized relationships between predictors, outcome, and covariates in this study.

Rosa Sunol (504149)
Cordula Wagner (504147)
Onyebuchi A. Arah (177956)
Solvejg Kristensen (766547)
Holger Pfaff (504150)
Niek Klazinga (828988)
Caroline A. Thompson (504145)
Aolin Wang (828989)
Maral DerSarkissian (504144)
Paul Bartels (385821)
Philippe Michel (828990)
Oliver Groene (4538485)

November 2015

Directed acyclic graph (DAG) used to guide the analysis and showing hypothesized relationships be...

Using directed acyclic graphs to understand confounding in observational studies.

DALLOLIO, LAURA
FANTINI, MARIA PIA
R. Bellocco
L. Richiardi
the Causal Inference In Epidemiology SISMEC Working Group

January 2009

The goal of most epidemiological studies is to determine an unbiased estimate of the effect of being...

DAGs of occupation and COVID V1.pdf

Wilkinson, Jack
Beale, Sarah
Cherrie, Mark
Edge, Rhiannon
Fishwick, David
Gittins, Matthew
Katikireddi, S. Vittal
Mcelvenny, Damien
Nafilyan, Vahe
Pearce, Neil
Rhodes, Sarah
Van Tongeren, Martie
Division of Population Health, Health Services Research & Primary Care (L5)
University College London (UCL)
Institute of Occupational Medicine
Lancaster University
University of Glasgow
Office for National Statistics
London School of Hygiene & Tropical Medicine

October 2021

Directed acyclic graphs (DAGs) may be used to represent our knowledge (or assumptions) about a data-...

Direct Acyclic Graph (DAG) for the association of low educational status and Major Cardiovascular Events with results from Structural Equation Model.

Fulvio Ricceri (300193)
Carlotta Sacerdote (140075)
Maria Teresa Giraudo (3202761)
Francesca Fasanelli (628433)
Giulia Lenzo (3202758)
Matteo Galli (2317780)
Sabina Sieri (229287)
Valeria Pala (156538)
Giovanna Masala (147462)
Benedetta Bendinelli (140069)
Rosario Tumino (43188)
Graziella Frasca (735672)
Paolo Chiodini (586278)
Amalia Mattiello (140078)
Salvatore Panico (115120)

October 2016

Direct Acyclic Graph (DAG) for the association of low educational status and Major Cardiovascular...

Correspondence to:

N L Fleischer
A V Diez Roux
Dr A V Diez Roux

January 2007

Background: Directed acyclic graphs, or DAGs, are a useful graphical tool in epidemiologic research ...

Directed acyclic graph (DAG) showing the instrumental variable assumptions underpinning our Mendelian randomisation study (note the instrument is not allowed to have a direct effect on the outcome, hence this line is dashed).

Evropi Theodoratou (149881)
Tom Palmer (159714)
Lina Zgaga (149875)
Susan M. Farrington (149988)
Paul McKeigue (34425)
Farhat V. N. Din (159727)
Albert Tenesa (107674)
George Davey-Smith (151784)
Malcolm G. Dunlop (112872)
Harry Campbell (30339)

June 2012

Instrumental variable models use associations C and A to estimate the causal effect of a risk fac...

A directed acyclic graph representing the causal relationships between adherence club participation, outcomes, baseline and time-updated covariates.

Miguel Angel Luque-Fernandez (281750)
Gilles Van Cutsem (2589493)
Eric Goemaere (129370)
Katherine Hilderbrand (129362)
Michael Schomaker (138489)
Nompumelelo Mantangana (281751)
Shaheed Mathee (281752)
Vuyiseka Dubula (281753)
Nathan Ford (59436)
Miguel A. Hernán (281754)
Andrew Boulle (93997)

February 2013

A directed acyclic graph representing the causal relationships between adherence club participati...

Using directed acyclic graphs to consider adjustment for socioeconomic status in occupational cancer studies

L. Richiardi
BARONE ADESI, Francesco
MERLETTI, Franco
N. Pearce

January 2008

There is an ongoing debate on whether analyses of occupational studies should be adjusted for socioe...

Directed Acyclic Graph (DAG) to represent the relationship between area-level income inequality and individual-level oral health outcomes.

Ankur Singh (3904732)
Jane Harford (4794750)
José Leopoldo Ferreira Antunes (432394)
Marco A. Peres (4794747)

January 2018

Directed Acyclic Graph (DAG) to represent the relationship between area-level income inequality a...

Directed acyclic graph (DAG) representing conditional independencies (by the absence of arrows) between the genetic instrument Z, the risk factor X, the outcome Y and the confounders U.

Philippe Vuistiner (157741)
Murielle Bochud (93046)
Valentin Rousson (157747)

February 2013

Directed acyclic graph (DAG) representing conditional independencies (by the absence of arrows) b...

Using causal diagrams to understand common problems in social epidemiology

M. Maria Glymour

January 2006

Epidemiologists typically seek to answer causal questions using statistical data:we observe a statis...

Confounding and causal path diagrams

Law, Graham R.
Green, Rosie
Ellison, George T. H.

February 2012

The issue of confounding, and the bias it can induce, is a key concern in epidemiology, and yet ther...

Directed Acyclic Graph (DAG) depicting relationships between neighbourhood socioeconomic disadvantage, obesogenic environments, and body size (body mass index and waist circumference).

Suzanne J. Carroll (8269239)
Michael J. Dale (8911325)
Gavin Turrell (636455)

January 2023

Variables included in analyses are denoted by boxes with solid outlines. Boxes with dashed lines and...

Hypothesised directed acyclic graph on the association between migration status and mortality.

Abstract

Extracted data

Hypothesised directed acyclic graph on the association between migration status and mortality.

Abstract

Extracted data

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