Prithwish Chakraborty

Causal Inference & Discovery · with Ghalwash · 2020

A researcher in the Science corpus: 1 paper; trusts 2 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 Prithwish Chakraborty trusts overall

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

1. James M. Robins

Papers from Prithwish Chakraborty's perspective

Ordered by how strongly the researchers Prithwish Chakraborty 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. A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
3. Correcting for non-compliance in randomized trials using structural nested mean models
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. Variational Learning of Inducing Variables in Sparse Gaussian Processes
8. RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
9. Estimation of the causal effects of time-varying exposures
10. Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

Their papers

• G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes (2020) — 22 citations