Directed acyclic graphs, sufficient causes, and the properties of conditioning on a common effect.

PubWeight™: 2.58‹?› | Rank: Top 1%

🔗 View Article (PMID 17702973)

Published in Am J Epidemiol on August 16, 2007

Authors

Tyler J VanderWeele1, James M Robins

Author Affiliations

1: Department of Health Studies, Division of Biological Sciences, University of Chicago, Chicago, IL 60637, USA. vanderweele@uchicago.edu

Articles citing this

Bias formulas for sensitivity analysis for direct and indirect effects. Epidemiology (2010) 4.82

Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptions. Am J Epidemiol (2012) 3.77

Reducing bias through directed acyclic graphs. BMC Med Res Methodol (2008) 3.67

Illustrating bias due to conditioning on a collider. Int J Epidemiol (2009) 3.54

Causal thinking and complex system approaches in epidemiology. Int J Epidemiol (2009) 2.47

Commentary: A structural approach to Berkson's fallacy and a guide to a history of opinions about it. Int J Epidemiol (2014) 2.23

Conditioning on intermediates in perinatal epidemiology. Epidemiology (2012) 2.00

Mediation and mechanism. Eur J Epidemiol (2009) 1.64

First population-level effectiveness evaluation of a national programme to prevent HIV transmission from mother to child, South Africa. J Epidemiol Community Health (2014) 1.55

Signed directed acyclic graphs for causal inference. J R Stat Soc Series B Stat Methodol (2010) 1.48

Remarks on antagonism. Am J Epidemiol (2011) 1.26

Case-only gene-environment interaction studies: when does association imply mechanistic interaction? Genet Epidemiol (2010) 1.15

Combining directed acyclic graphs and the change-in-estimate procedure as a novel approach to adjustment-variable selection in epidemiology. BMC Med Res Methodol (2012) 1.09

A sufficient cause based approach to the assessment of mediation. Eur J Epidemiol (2008) 1.08

Selection bias in rheumatic disease research. Nat Rev Rheumatol (2014) 1.02

Interaction of occupational and personal risk factors in workforce health and safety. Am J Public Health (2011) 0.99

Environmental confounding in gene-environment interaction studies. Am J Epidemiol (2013) 0.94

Results on differential and dependent measurement error of the exposure and the outcome using signed directed acyclic graphs. Am J Epidemiol (2012) 0.89

GENERAL THEORY FOR INTERACTIONS IN SUFFICIENT CAUSE MODELS WITH DICHOTOMOUS EXPOSURES. Ann Stat (2012) 0.86

Causal diagrams for empirical legal research: a methodology for identifying causation, avoiding bias and interpreting results. Law Probab Risk (2015) 0.84

Attributable fractions for sufficient cause interactions. Int J Biostat (2010) 0.83

Summary of relationships between exchangeability, biasing paths and bias. Eur J Epidemiol (2014) 0.83

Implications of Lifecourse Epidemiology for Research on Determinants of Adult Disease. Public Health Rev (2010) 0.82

Assessing causal relationships in genomics: From Bradford-Hill criteria to complex gene-environment interactions and directed acyclic graphs. Emerg Themes Epidemiol (2011) 0.82

Reducing bias in pelvic floor disorders research: using directed acyclic graphs as an aid. Neurourol Urodyn (2011) 0.79

Design and statistical analysis of oral medicine studies: common pitfalls. Oral Dis (2009) 0.79

Additive interactions between susceptibility single-nucleotide polymorphisms identified in genome-wide association studies and breast cancer risk factors in the Breast and Prostate Cancer Cohort Consortium. Am J Epidemiol (2014) 0.78

From monocausality to systems thinking: a complementary and alternative conceptual approach for better understanding the development and prevention of sports injury. Inj Epidemiol (2015) 0.78

Commentary: reporting and assessing evidence for interaction: why, when and how? Int J Epidemiol (2012) 0.77

Confounding, effect modification, and the odds ratio: common misinterpretations. J Clin Epidemiol (2015) 0.75

Causal diagrams, information bias, and thought bias. Pragmat Obs Res (2010) 0.75

Bias with respect to socioeconomic status: A closer look at zip code matching in a pneumococcal vaccine effectiveness study. SSM Popul Health (2016) 0.75

Sufficient Cause Representation of the Four-way Decomposition for Mediation and Interaction. Epidemiology (2016) 0.75

Author's response to Poole, C. Commentary: How Many Are Affected? A Real Limit of Epidemiology. Epidemiol Perspect Innov (2010) 0.75

Investigation of selection bias in the association of race with prevalent atrial fibrillation in a national cohort study: REasons for Geographic And Racial Differences in Stroke (REGARDS). Ann Epidemiol (2016) 0.75

Articles by these authors

A structural approach to selection bias. Epidemiology (2004) 16.44

Transmissibility of 1918 pandemic influenza. Nature (2004) 16.14

Transmission dynamics and control of severe acute respiratory syndrome. Science (2003) 14.70

Doubly robust estimation in missing data and causal inference models. Biometrics (2005) 9.67

Methotrexate and mortality in patients with rheumatoid arthritis: a prospective study. Lancet (2002) 9.66

Instruments for causal inference: an epidemiologist's dream? Epidemiology (2006) 8.50

Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease. Epidemiology (2008) 6.87

Long-term effectiveness of potent antiretroviral therapy in preventing AIDS and death: a prospective cohort study. Lancet (2005) 6.60

On the efficacy of screening for breast cancer. Int J Epidemiol (2004) 6.30

Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of nonuniform effect. Am J Epidemiol (2005) 6.20

The effect of combined antiretroviral therapy on the overall mortality of HIV-infected individuals. AIDS (2010) 5.85

Effect of highly active antiretroviral therapy on time to acquired immunodeficiency syndrome or death using marginal structural models. Am J Epidemiol (2003) 5.81

Estimating causal effects from epidemiological data. J Epidemiol Community Health (2006) 5.61

When to initiate combined antiretroviral therapy to reduce mortality and AIDS-defining illness in HIV-infected persons in developed countries: an observational study. Ann Intern Med (2011) 5.35

Comparison of dynamic treatment regimes via inverse probability weighting. Basic Clin Pharmacol Toxicol (2006) 5.25

When is baseline adjustment useful in analyses of change? An example with education and cognitive change. Am J Epidemiol (2005) 4.54

Estimating the causal effect of zidovudine on CD4 count with a marginal structural model for repeated measures. Stat Med (2002) 4.15

Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: main content. Int J Biostat (2010) 3.97

Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptions. Am J Epidemiol (2012) 3.77

Structural accelerated failure time models for survival analysis in studies with time-varying treatments. Pharmacoepidemiol Drug Saf (2005) 3.05

Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures. Stat Med (2004) 2.87

The identification of synergism in the sufficient-component-cause framework. Epidemiology (2007) 2.77

Causal directed acyclic graphs and the direction of unmeasured confounding bias. Epidemiology (2008) 2.60

When to start treatment? A systematic approach to the comparison of dynamic regimes using observational data. Int J Biostat (2010) 2.50

Intervening on risk factors for coronary heart disease: an application of the parametric g-formula. Int J Epidemiol (2009) 2.48

Marginal structural models for estimating the effect of highly active antiretroviral therapy initiation on CD4 cell count. Am J Epidemiol (2005) 2.20

A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference. Am J Epidemiol (2017) 2.05

Generation interval contraction and epidemic data analysis. Math Biosci (2008) 2.04

Determining the effect of highly active antiretroviral therapy on changes in human immunodeficiency virus type 1 RNA viral load using a marginal structural left-censored mean model. Am J Epidemiol (2007) 2.00

Multiply robust inference for statistical interactions. J Am Stat Assoc (2008) 1.98

Second look at the spread of epidemics on networks. Phys Rev E Stat Nonlin Soft Matter Phys (2007) 1.90

Four types of effect modification: a classification based on directed acyclic graphs. Epidemiology (2007) 1.83

Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes. Biostatistics (2003) 1.76

Comparative effectiveness of dynamic treatment regimes: an application of the parametric g-formula. Stat Biosci (2011) 1.73

Identifiability, exchangeability and confounding revisited. Epidemiol Perspect Innov (2009) 1.65

Estimating absolute risks in the presence of nonadherence: an application to a follow-up study with baseline randomization. Epidemiology (2010) 1.64

Network-based analysis of stochastic SIR epidemic models with random and proportionate mixing. J Theor Biol (2007) 1.62

Randomized trials analyzed as observational studies. Ann Intern Med (2013) 1.60

On doubly robust estimation in a semiparametric odds ratio model. Biometrika (2009) 1.57

Marginal structural models for sufficient cause interactions. Am J Epidemiol (2010) 1.52

Weight Loss and Coronary Heart Disease: Sensitivity Analysis for Unmeasured Confounding by Undiagnosed Disease. Epidemiology (2016) 1.39

Early versus deferred antiretroviral therapy for HIV. N Engl J Med (2009) 1.35

Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. Am J Epidemiol (2016) 1.29

Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part II: proofs of results. Int J Biostat (2010) 1.29

Pandemic influenza: risk of multiple introductions and the need to prepare for them. PLoS Med (2006) 1.26

Effect decomposition in the presence of an exposure-induced mediator-outcome confounder. Epidemiology (2014) 1.25

Improved double-robust estimation in missing data and causal inference models. Biometrika (2012) 1.22

Relation between three classes of structural models for the effect of a time-varying exposure on survival. Lifetime Data Anal (2009) 1.14

The effect of efavirenz versus nevirapine-containing regimens on immunologic, virologic and clinical outcomes in a prospective observational study. AIDS (2012) 1.11

Effectiveness of early antiretroviral therapy initiation to improve survival among HIV-infected adults with tuberculosis: a retrospective cohort study. PLoS Med (2011) 1.08

Selecting on treatment: a pervasive form of bias in instrumental variable analyses. Am J Epidemiol (2015) 1.07

On weighting approaches for missing data. Stat Methods Med Res (2011) 1.05

A mapping between interactions and interference: implications for vaccine trials. Epidemiology (2012) 0.97

Identification, estimation and approximation of risk under interventions that depend on the natural value of treatment using observational data. Epidemiol Method (2014) 0.92

Time-dependent cross ratio estimation for bivariate failure times. Biometrika (2011) 0.92

Higher Order Inference On A Treatment Effect Under Low Regularity Conditions. Stat Probab Lett (2011) 0.91

Boosted lopinavir- versus boosted atazanavir-containing regimens and immunologic, virologic, and clinical outcomes: a prospective study of HIV-infected individuals in high-income countries. Clin Infect Dis (2015) 0.83

Definition and evaluation of the monotonicity condition for preference-based instruments. Epidemiology (2015) 0.82

Re: Causality and causal inference in epidemiology: the need for a pluralistic approach. Int J Epidemiol (2016) 0.78

When to Monitor CD4 Cell Count and HIV RNA to Reduce Mortality and AIDS-Defining Illness in Virologically Suppressed HIV-Positive Persons on Antiretroviral Therapy in High-Income Countries: A Prospective Observational Study. J Acquir Immune Defic Syndr (2016) 0.78

Multiple outbreaks and flu containment plans. Science (2006) 0.76

The Impact of Different CD4 Cell-Count Monitoring and Switching Strategies on Mortality in HIV-Infected African Adults on Antiretroviral Therapy: An Application of Dynamic Marginal Structural Models. Am J Epidemiol (2015) 0.75

Introduction. Am J Addict (2010) 0.75