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Invited Commentary: Causal diagrams and measurement bias.

Invited Commentary: Causal diagrams and measurement bias.

http://www.wikidata.org/entity/Q37395428

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Apnea-hypopnea index: time to wake up Exposure to perfluoroalkyl acids and markers of kidney function among children and adolescents living near a chemical plant Brief Report: Negative Controls to Detect Selection Bias and Measurement Bias in Epidemiologic Studies Are all biases missing data problems?Correlated biomarker measurement error: an important threat to inference in environmental epidemiology Measurement Error and Environmental Epidemiology: A Policy Perspective All your data are always missing: incorporating bias due to measurement error into the potential outcomes framework.Misclassification in administrative claims data: quantifying the impact on treatment effect estimates.Using marginal structural measurement-error models to estimate the long-term effect of antiretroviral therapy on incident AIDS or death Can changes in the distributions of and associations between education and income bias temporal comparisons of health disparities? An exploration with causal graphs and simulations.Effects of childhood socioeconomic position on subjective health and health behaviours in adulthood: how much is mediated by adult socioeconomic position?Dietary predictors of urinary environmental biomarkers in young girls, BCERP, 2004-7.Why children with severe bacterial infection die: a population-based study of determinants and consequences of suboptimal care with a special emphasis on methodological issues.Combining directed acyclic graphs and the change-in-estimate procedure as a novel approach to adjustment-variable selection in epidemiology.Causal inference methods to study nonrandomized, preexisting development interventions.Worth the weight: using inverse probability weighted Cox models in AIDS research.Serum 25-hydroxyvitamin D, parathyroid hormone, and mortality in older men.Maternal and paternal smoking during pregnancy and risk of ADHD symptoms in offspring: testing for intrauterine effects.A counterfactual approach to bias and effect modification in terms of response types.Racial discrimination & cardiovascular disease risk: my body my story study of 1005 US-born black and white community health center participants (US).Estimation of the standardized risk difference and ratio in a competing risks framework: application to injection drug use and progression to AIDS after initiation of antiretroviral therapy Risk.A comparison of confounding adjustment methods with an application to early life determinants of childhood obesity Gene-environment interactions in cardiovascular disease.Commentary: The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented?Results on differential and dependent measurement error of the exposure and the outcome using signed directed acyclic graphs.A method for detection of residual confounding in time-series and other observational studies Refilling medications through an online patient portal: consistent improvements in adherence across racial/ethnic groups The effect of antiretroviral therapy on all-cause mortality, generalized to persons diagnosed with HIV in the USA, 2009-11.Compound treatments and transportability of causal inference Causal diagrams, information bias, and thought bias.The role of at-risk alcohol/drug use and treatment in appointment attendance and virologic suppression among HIV(+) African Americans.A Study of Reverse Causation: Examining the Associations of Perfluorooctanoic Acid Serum Levels with Two Outcomes.Causal theory and the etiology of periodontal diseases.Theoretical Basis of the Test-Negative Study Design for Assessment of Influenza Vaccine Effectiveness.Causal mediation analysis on failure time outcome without sequential ignorability.Biases in Randomized Trials: A Conversation Between Trialists and Epidemiologists.[Use of causal diagrams in Epidemiology: application to a situation with confounding].Quantitative Models for Causal Analysis in the Era of Genome Wide Association Studies.Structural Approach to Bias in Meta-analyses.

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Invited Commentary: Causal diagrams and measurement bias.

http://www.wikidata.org/entity/Q37395428

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artigo científico

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bilimsel makale

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scientific article published on 15 September 2009

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vedecký článok

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vetenskaplig artikel

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vědecký článek

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Invited Commentary: Causal diagrams and measurement bias.

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Invited Commentary: Causal diagrams and measurement bias.

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Invited Commentary: Causal diagrams and measurement bias.

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Invited Commentary: Causal diagrams and measurement bias.

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American Journal of Epidemiology

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Invited Commentary: Causal diagrams and measurement bias.

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Miguel A Hernán

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Stephen R Cole

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P2860

Data, design, and background knowledge in etiologic inference.

A structural approach to selection bias.

Causal models for estimating the effects of weight gain on mortality.

Signed directed acyclic graphs for causal inference

Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology.

Does nondifferential misclassification of exposure always bias a true effect toward the null value?

Does body mass index adequately capture the relation of body composition and body size to health outcomes?

When will nondifferential misclassification of an exposure preserve the direction of a trend?

Does obesity shorten life? The importance of well-defined interventions to answer causal questions.

The association of body mass index with health outcomes: causal, inconsistent, or confounded?

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959-62; discussion 963-4

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scholarly article

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10.1093/AJE/KWP293

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8

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170

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2009-09-15T00:00:00Z

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26813460

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19755635

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2765368

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