On the consistency rule in causal inference: axiom, definition, assumption, or theorem?
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Are all biases missing data problems?Estimating the effect of cumulative occupational asbestos exposure on time to lung cancer mortality: using structural nested failure-time models to account for healthy-worker survivor biasAll your data are always missing: incorporating bias due to measurement error into the potential outcomes framework.Applying the Bradford Hill criteria in the 21st century: how data integration has changed causal inference in molecular epidemiology.On the causal interpretation of race in regressions adjusting for confounding and mediating variablesWorth the weight: using inverse probability weighted Cox models in AIDS research.A counterfactual approach to bias and effect modification in terms of response types.Nonparametric Bounds and Sensitivity Analysis of Treatment Effects.Mediation analysis with intermediate confounding: structural equation modeling viewed through the causal inference lens.Assumption Trade-Offs When Choosing Identification Strategies for Pre-Post Treatment Effect Estimation: An Illustration of a Community-Based Intervention in MadagascarImputation approaches for potential outcomes in causal inference.The Consistency Assumption for Causal Inference in Social Epidemiology: When a Rose is Not a Rose.Super learning to hedge against incorrect inference from arbitrary parametric assumptions in marginal structural modeling.Compound treatments and transportability of causal inferenceGeneralizing Study Results: A Potential Outcomes Perspective.Does water kill? A call for less casual causal inferences.High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.Causal Inference Under Multiple Versions of Treatment.Extending the sufficient component cause model to describe the Stable Unit Treatment Value Assumption (SUTVA).Estimating controlled direct effects in the presence of intermediate confounding of the mediator-outcome relationship: Comparison of five different methods.Identification of the joint effect of a dynamic treatment intervention and a stochastic monitoring intervention under the no direct effect assumption.Targeted learning in real-world comparative effectiveness research with time-varying interventions.Beyond exchangeability: the other conditions for causal inference in medical research.A Bayesian approach to the g-formula.Doubly robust estimation of attributable fractions in survival analysis.A Recipe for inferference: Start with Causal Inference. Add Interference. Mix Well with R.Twice-weighted multiple interval estimation of a marginal structural model to analyze cost-effectiveness.Marginal structural models in clinical research: when and how to use them?An application of restricted mean survival time in a competing risks setting: comparing time to ART initiation by injection drug use.TRYGVE HAAVELMO AND THE EMERGENCE OF CAUSAL CALCULUSCounterfactual Theory in Social Epidemiology: Reconciling Analysis and Action for the Social Determinants of Health
P2860
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P2860
On the consistency rule in causal inference: axiom, definition, assumption, or theorem?
description
2010 nî lūn-bûn
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2010年の論文
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2010年学术文章
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2010年学术文章
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2010年学术文章
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2010年学术文章
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2010年学术文章
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2010年学术文章
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2010年學術文章
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2010年學術文章
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name
On the consistency rule in causal inference: axiom, definition, assumption, or theorem?
@en
On the consistency rule in causal inference: axiom, definition, assumption, or theorem?
@nl
type
label
On the consistency rule in causal inference: axiom, definition, assumption, or theorem?
@en
On the consistency rule in causal inference: axiom, definition, assumption, or theorem?
@nl
prefLabel
On the consistency rule in causal inference: axiom, definition, assumption, or theorem?
@en
On the consistency rule in causal inference: axiom, definition, assumption, or theorem?
@nl
P1433
P1476
On the consistency rule in causal inference: axiom, definition, assumption, or theorem?
@en
P304
P356
10.1097/EDE.0B013E3181F5D3FD
P50
P577
2010-11-01T00:00:00Z