Pages that link to "Item:Q3837294"
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The following pages link to Causal diagrams for empirical research (Q3837294):
Displaying 50 items.
- Causal diagrams for interference (Q252805) (← links)
- External validity: from do-calculus to transportability across populations (Q252808) (← links)
- Structural nested models and G-estimation: the partially realized promise (Q252829) (← links)
- Granger causality and path diagrams for multivariate time series (Q276915) (← links)
- Time-series estimation of the effects of natural experiments (Q291869) (← links)
- Bounds on average controlled direct effects with an unobserved response variable (Q301003) (← links)
- The contagion channels of July--August-2011 stock market crash: a DAG-copula based approach (Q321012) (← links)
- Comment: Complex causal questions require careful model formulation: Discussion of Rubin on experiments with ``censoring'' due to death (Q449728) (← links)
- Defining and estimating intervention effects for groups that will develop an auxiliary outcome (Q449753) (← links)
- On instrumental variables estimation of causal odds ratios (Q449850) (← links)
- Methods for analyzing multivariate phenotypes in genetic association studies (Q454787) (← links)
- Markovian acyclic directed mixed graphs for discrete data (Q464191) (← links)
- Identification of causal effects in linear models: beyond instrumental variables (Q497856) (← links)
- Graphical methods, inductive causal inference, and econometrics: a literature review (Q540664) (← links)
- Relations among homogeneity, collapsibility and nonconfounding in distribution effects (Q551443) (← links)
- Covariate selection for identifying the effects of a particular type of conditional plan using causal networks (Q610737) (← links)
- Conditions for uniformly non-confounding of causal distribution effects over multiple covariates (Q625684) (← links)
- Covariate selection for identifying the causal effects of stochastic interventions using causal networks (Q643394) (← links)
- The algorithmization of counterfactuals (Q657586) (← links)
- From association to causation via regression (Q679036) (← links)
- On the completeness of an identifiability algorithm for semi-Markovian models (Q735239) (← links)
- On Granger causality and the effect of interventions in time series (Q746001) (← links)
- Efficient estimation of the distribution of time to composite endpoint when some endpoints are only partially observed (Q746487) (← links)
- Assumptions of IV methods for observational epidemiology (Q903300) (← links)
- To explain or to predict? (Q906529) (← links)
- Graphical models for inference under outcome-dependent sampling (Q906534) (← links)
- Simple relations between principal stratification and direct and indirect effects (Q956372) (← links)
- Causal inference in statistics: an overview (Q975575) (← links)
- Prequential randomness and probability (Q982633) (← links)
- Causal analysis with chain event graphs (Q991026) (← links)
- Detecting multiple confounders (Q1007488) (← links)
- Minimal sufficient causation and directed acyclic graphs (Q1018646) (← links)
- Conditional independence of multivariate binary data with an application in caries research (Q1019957) (← links)
- Estimating high-dimensional intervention effects from observational data (Q1043733) (← links)
- Axioms of causal relevance (Q1127350) (← links)
- Causal modeling alternatives in operations research: overview and application. (Q1426692) (← links)
- Confounding and collapsibility in causal inference (Q1431156) (← links)
- From association to causation: Some remarks on the history of statistics. (Q1431169) (← links)
- Choice as an alternative to control in observational studies. (With comments and a rejoinder). (Q1431170) (← links)
- Causality effects of interventions and stressors on driving behaviors under typical conditions (Q1634407) (← links)
- Causal effect identification in acyclic directed mixed graphs and gated models (Q1678412) (← links)
- Model transfer across additive manufacturing processes via mean effect equivalence of lurking variables (Q1728659) (← links)
- Causal inference for complex longitudinal data: the continuous case. (Q1848926) (← links)
- Statistics and causal inference: A review. (With discussion) (Q1875689) (← links)
- Identifying the consequences of dynamic treatment strategies: a decision-theoretic overview (Q1950325) (← links)
- On the definition of a confounder (Q1952448) (← links)
- On a hypergraph probabilistic graphical model (Q2023886) (← links)
- Doubly robust treatment effect estimation with missing attributes (Q2044265) (← links)
- Beyond the mean: a flexible framework for studying causal effects using linear models (Q2088915) (← links)
- A model for learning cause-effect relationships in Bayesian networks (Q2101280) (← links)
