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Mendelian randomisation and causal inference in observational epidemiology

PLoS medicine, 2008-08, Vol.5 (8), p.e177-e177

2008

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A longitudinal causal graph analysis investigating modifiable risk factors and obesity in a European cohort of children and adolescents

Scientific reports, 2024-03, Vol.14 (1), p.6822-6822

2024

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Commentary: Should the analysis of observational data always be preceded by specifying a target experimental trial?

International journal of epidemiology, 2016-12, Vol.45 (6), p.2049-2051

Didelez, Vanessa

2016

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Emulierung von „target trials“ mit Real-world-Daten: Ein allgemeines Prinzip, um den Herausforderungen von Beobachtungsdaten zu begegnen

Prävention und Gesundheitsförderung, 2022-07

2022

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The role of psychosocial well-being and emotion-driven impulsiveness in food choices of European adolescents

The international journal of behavioral nutrition and physical activity, 2024-01, Vol.21 (1), p.1-1, Article 1

2024

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Invited Commentary: Where Do the Causal DAGs Come From?

American journal of epidemiology, 2024-04

Didelez, Vanessa

2024

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Perspective on Interviews with Heckman, Pearl, Robins and Rubin

Observational studies, 2022-10, Vol.8 (2), p.95-104

Didelez, Vanessa

2022

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Epidemiology, genetic epidemiology and Mendelian randomisation: more need than ever to attend to detail

Human genetics, 2020-01, Vol.139 (1), p.121-136

2020

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Screening colonoscopy similarly prevented distal and proximal colorectal cancer: a prospective study among 55–69-year-olds

Journal of clinical epidemiology, 2022-09, Vol.149, p.118-126

2022

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Interpretation of Mendelian randomization using a single measure of an exposure that varies over time

International journal of epidemiology, 2022-12, Vol.51 (6), p.1899-1909

2022

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Examining the causal mediating role of cardiovascular disease on the relationship between subclinical cardiovascular disease and cognitive impairment: The Cardiovascular Health Cognition Study

Alzheimer's & dementia, 2020-12, Vol.16, p.n/a

2020

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Examining the causal mediating role of cardiovascular disease on the relationship between subclinical cardiovascular disease and cognitive impairment: The Cardiovascular Health Cognition Study: Epidemiology: Cardiovascular risk factors

Alzheimer's & dementia, 2020-12, Vol.16 (S10)

2020

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Considering Questions Before Methods in Dementia Research With Competing Events and Causal Goals

American journal of epidemiology, 2023-08, Vol.192 (8), p.1415-1423

2023

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Mats Stensrud, Vanessa Didelez and Aaron Sarvet's contribution to the Discussion of ‘Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment’ by Imai et al., part 2

Journal of the Royal Statistical Society. Series A, Statistics in society, 2023-04, Vol.186 (2), p.201-202

2023

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Instrumental Variable Estimation of Causal Risk Ratios and Causal Odds Ratios in Mendelian Randomization Analyses

American journal of epidemiology, 2011-06, Vol.173 (12), p.1392-1403

2011

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Secondary Data for Pharmacoepidemiological Research - Making the Best of It!

Gesundheitswesen (Bundesverband der Ärzte des Öffentlichen Gesundheitsdienstes (Germany)), 2021-11, Vol.83 (S 02), p.S69

2021

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Multiple imputation of missing data under missing at random: compatible imputation models are not sufficient to avoid bias if they are mis-specified

Journal of clinical epidemiology, 2023-08, Vol.160, p.100-109

2023

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Examining the Causal Mediating Role of Cardiovascular Disease on the Effect of Subclinical Cardiovascular Disease on Cognitive Impairment via Separable Effects

The journals of gerontology. Series A, Biological sciences and medical sciences, 2023-07, Vol.78 (7), p.1172-1178

2023

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Constrained instruments and their application to Mendelian randomization with pleiotropy

Genetic epidemiology, 2019-06, Vol.43 (4), p.373-401

2019

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Avoiding Time-Related Biases: A Feasibility Study on Antidiabetic Drugs and Pancreatic Cancer Applying the Parametric g-Formula to a Large German Healthcare Database

Clinical epidemiology, 2021-01, Vol.13, p.1027-1038

2021

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Effectiveness of Mammography Screening on Breast Cancer Mortality – A Study Protocol for Emulation of Target Trials Using German Health Claims Data

Clinical epidemiology, 2022-01, Vol.14, p.1293-1303

2022

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Mendelian randomisation: a tool for assessing causality in observational epidemiology

Methods in molecular biology (Clifton, N.J.), 2011, Vol.713, p.153

2011

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Commentary: Can 'many weak' instruments ever be 'strong'?

International journal of epidemiology, 2011-06, Vol.40 (3), p.752-754

2011

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Graphical models for composable finite markov processes: Statistical analysis of complex event history data

Scandinavian journal of statistics, 2007, Vol.34 (1), p.169-185

DIDELEZ, Vanessa

2007

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Lack of Identification in Semiparametric Instrumental Variable Models With Binary Outcomes

American journal of epidemiology, 2014-07, Vol.180 (1), p.111-119

2014

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Mendelian randomisation and causal inference in observational epidemiology

A longitudinal causal graph analysis investigating modifiable risk factors and obesity in a European cohort of children and adolescents

Commentary: Should the analysis of observational data always be preceded by specifying a target experimental trial?

Emulierung von „target trials“ mit Real-world-Daten: Ein allgemeines Prinzip, um den Herausforderungen von Beobachtungsdaten zu begegnen

The role of psychosocial well-being and emotion-driven impulsiveness in food choices of European adolescents

Invited Commentary: Where Do the Causal DAGs Come From?

Perspective on Interviews with Heckman, Pearl, Robins and Rubin

Epidemiology, genetic epidemiology and Mendelian randomisation: more need than ever to attend to detail

Screening colonoscopy similarly prevented distal and proximal colorectal cancer: a prospective study among 55–69-year-olds

Interpretation of Mendelian randomization using a single measure of an exposure that varies over time

Examining the causal mediating role of cardiovascular disease on the relationship between subclinical cardiovascular disease and cognitive impairment: The Cardiovascular Health Cognition Study

Examining the causal mediating role of cardiovascular disease on the relationship between subclinical cardiovascular disease and cognitive impairment: The Cardiovascular Health Cognition Study: Epidemiology: Cardiovascular risk factors

Considering Questions Before Methods in Dementia Research With Competing Events and Causal Goals

Mats Stensrud, Vanessa Didelez and Aaron Sarvet's contribution to the Discussion of ‘Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment’ by Imai et al., part 2

Instrumental Variable Estimation of Causal Risk Ratios and Causal Odds Ratios in Mendelian Randomization Analyses

Secondary Data for Pharmacoepidemiological Research - Making the Best of It!

Multiple imputation of missing data under missing at random: compatible imputation models are not sufficient to avoid bias if they are mis-specified

Examining the Causal Mediating Role of Cardiovascular Disease on the Effect of Subclinical Cardiovascular Disease on Cognitive Impairment via Separable Effects

Constrained instruments and their application to Mendelian randomization with pleiotropy

Avoiding Time-Related Biases: A Feasibility Study on Antidiabetic Drugs and Pancreatic Cancer Applying the Parametric g-Formula to a Large German Healthcare Database

Effectiveness of Mammography Screening on Breast Cancer Mortality – A Study Protocol for Emulation of Target Trials Using German Health Claims Data

Mendelian randomisation: a tool for assessing causality in observational epidemiology

Commentary: Can 'many weak' instruments ever be 'strong'?

Graphical models for composable finite markov processes: Statistical analysis of complex event history data

Lack of Identification in Semiparametric Instrumental Variable Models With Binary Outcomes

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