Phillip J. Schulte
Statistics and Probability · 2012–2017
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 22 citations into it; #4,849 of 12,932 by trust here, #5,481 by citations
- Causal Inference & Discovery — 5 citations into it
Whom Phillip J. Schulte trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James M. Robins
- Susan A. Murphy
- Thomas S. Richardson
- Baqun Zhang
- Donald B. Rubin
- Ben J. A. Kröse
- Liliana Orellana
- Eric B. Laber
- Ying‐Qi Zhao
Who trusts Phillip J. Schulte overall
- Eric B. Laber
- Kristin A. Linn
- Abiral Baniya
- Michael R. Kosorok
- Leonard A. Stefanski
- Yichi Zhang
- Baqun Zhang
- Daniel J. Luckett
- Anastasios A. Tsiatis
- Marie Davidian
Papers from Phillip J. Schulte's perspective
Ordered by how strongly the researchers Phillip J. Schulte trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimal Structural Nested Models for Optimal Sequential Decisions
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
- Demystifying Optimal Dynamic Treatment Regimes
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning
- Optimal dynamic treatment regimes
- Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions
- Estimation and extrapolation of optimal treatment and testing strategies
- Single World Intervention Graphs ( SWIGs ) : A Unification of the Counterfactual and Graphical Approaches to Causality
- The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. (Biological Psychiatry)
- Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part I: Main Content