Craig Lambert

Statistics and Probability · with Alaa · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 32 citations into it
• Causal Inference & Discovery — 18 citations into it
• Artificial Intelligence — 14 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Craig Lambert trusts overall

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

1. James M. Robins
2. Ahmed M. Alaa
3. Susan Athey
4. Jennifer L. Hill
5. Donald B. Rubin
6. Ioana Bica
7. Mihaela van der Schaar
8. Guido W. Imbens
9. Stefan Wager
10. Individualized Treat

Papers from Craig Lambert's perspective

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

1. The central role of the propensity score in observational studies for causal effects
2. GENERATIVE ADVERSARIAL NETS
3. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
4. Recursive partitioning for heterogeneous causal effects
5. Bayesian Nonparametric Modeling for Causal Inference
6. Learning Representations for Counterfactual Inference
7. ImageNet classification with deep convolutional neural networks
8. Bayesian Inference for Causal Effects: The Role of Randomization
9. Reliable Decision Support using Counterfactual Models
10. Long Short-Term Memory

Their papers

• From Real‐World Patient Data to Individualized Treatment Effects Using Machine Learning: Current and Future Methods to Address Underlying Challenges (2020) — 219 citations