Daby M. Sow

Causal Inference & Discovery · 2010–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Causal Inference & Discovery — 9 citations into it
• Statistics and Probability — 8 citations into it

Whom Daby M. Sow trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. James M. Robins

Papers from Daby M. Sow's perspective

Ordered by how strongly the researchers Daby M. Sow trusts endorse each paper. Same corpus, a different order for every researcher.

1. Intervening on risk factors for coronary heart disease: an application of the parametric g-formula.
2. Correcting for non-compliance in randomized trials using structural nested mean models
3. A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
4. Marginal Structural Models and Causal Inference in Epidemiology
5. Reliable Decision Support using Counterfactual Models
6. Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part I: Main Content
7. Ten Lectures on Wavelets
8. Variational Learning of Inducing Variables in Sparse Gaussian Processes
9. RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
10. Estimation of the causal effects of time-varying exposures

Their papers

• G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes (2020) — 22 citations
• Predicting Patient's Trajectory of Physiological Data using Temporal Trends in Similar Patients: A System for Near-Term Prognostics. (2010) — 87 citations