David M. Maahs

Statistics and Probability · 2010–2022

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 18 citations into it; #9,818 of 12,932 by trust here, #8,279 by citations
• Reinforcement Learning — 5 citations into it

Whom David M. Maahs trusts overall

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

1. Susan A. Murphy
2. E. Hyppönen
3. V. Basevi
4. Eric B. Laber
5. Yufan Zhao
6. Baqun Zhang

Who trusts David M. Maahs overall

1. Nathan Kallus

Papers from David M. Maahs's perspective

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

1. Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions
2. A Robust Method for Estimating Optimal Treatment Regimes
3. Interactive model building for Q-learning
4. Optimal dynamic treatment regimes
5. Bayesian Inference for Causal Effects: The Role of Randomization
6. Mobile Health Technology Evaluation (American Journal of Preventive Medicine)
7. Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.
8. Reinforcement learning design for cancer clinical trials
9. Demystifying Optimal Dynamic Treatment Regimes
10. Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes

Their papers

• Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning (2016) — 164 citations
• Continuous glucose monitoring and metrics for clinical trials: an international consensus statement. (2022) — 608 citations
• State of Type 1 Diabetes Management and Outcomes from the T1D Exchange in 2016–2018 (2019) — 1,617 citations
• Current State of Type 1 Diabetes Treatment in the U.S.: Updated Data From the T1D Exchange Clinic Registry (2015) — 1,200 citations
• Chapter 1: Epidemiology of Type 1 Diabetes (2010) — 1,143 citations