Pages that link to "Item:Q975575"

The following pages link to Causal inference in statistics: an overview (Q975575):

Displaying 36 items.

• A simple, dynamic extension of temporal motivation theory (Q5862201) (← links)
• Reversals of Least-Square Estimates and Model-Invariant Estimation for Directions of Unique Effects (Q5885445) (← links)
• Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo (Q5970825) (← links)
• Transporting stochastic direct and indirect effects to new populations (Q6047804) (← links)
• Rough sets: past, present, and future (Q6062029) (← links)
• Implications of the Data Revolution for Statistics Education (Q6086485) (← links)
• Anthropogenic global warming hypothesis: testing its robustness by Granger causality analysis (Q6089989) (← links)
• A semiparametric multiply robust multiple imputation method for causal inference (Q6106314) (← links)
• Adversarial learning for counterfactual fairness (Q6106421) (← links)
• Estimating causal effects with hidden confounding using instrumental variables and environments (Q6184891) (← links)
• Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy (Q6185714) (← links)
• Bayesian causal inference in probit graphical models (Q6198362) (← links)
• Exploring uplift modeling with high class imbalance (Q6487755) (← links)
• Causal inference methods for combining randomized trials and observational studies: a review (Q6540240) (← links)
• Predicting and optimizing marketing performance in dynamic markets (Q6556794) (← links)
• On Learning and Testing of Counterfactual Fairness through Data Preprocessing (Q6567923) (← links)
• Bias of the additive hazard model in the presence of causal effect heterogeneity (Q6571293) (← links)
• Doubly weighted mean score estimating functions with a partially observed effect modifier (Q6571718) (← links)
• Econometric causality: the central role of thought experiments (Q6600031) (← links)
• Data farming: methods for the present, opportunities for the future (Q6600106) (← links)
• Detecting responsible nodes in differential Bayesian networks (Q6618323) (← links)
• Structural Equation Model Averaging: Methodology and Application (Q6620905) (← links)
• A causal data fusion method for the general exposure and outcome (Q6622236) (← links)
• Introduction to computational causal inference using reproducible Stata, R, and Python code: a tutorial (Q6622245) (← links)
• The value provided by a scientific explanation (Q6623870) (← links)
• Targeted learning with daily EHR data (Q6624675) (← links)
• Causal inference for recurrent events via aggregated marginal odds ratio (Q6626840) (← links)
• On identification of agonistic interaction: hepatitis B and C interaction on hepatocellular carcinoma (Q6627133) (← links)
• Stochastic approach for mechanistic interaction under longitudinal studies with noninformative right censoring (Q6627278) (← links)
• Bayesian phase II clinical trial design with noncompliance (Q6628481) (← links)
• A case study of the impact of data-adaptive versus model-based estimation of the propensity scores on causal inferences from three inverse probability weighting estimators (Q6632727) (← links)
• Estimation and inference for the mediation proportion (Q6636157) (← links)
• Assessing the causal effect of policies: an example using stochastic interventions (Q6637421) (← links)
• User response modeling in recommender systems: a survey (Q6650291) (← links)
• Dynamic path analysis for exploring treatment effect mediation processes in clinical trials with time-to-event endpoints (Q6652628) (← links)
• A consistent estimator for confounding strength (Q6652702) (← links)