The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Optimal Dynamic Treatment Regimes
Open accessAbstract
Summary: A dynamic treatment regime is a list of decision rules, one per time interval, for how the level of treatment will be tailored through time to an individual’s changing status. The goal of this paper is to use experimental or observational data to estimate decision regimes that result in a maximal mean response. To explicate our objective and to state the assumptions, we use the potential outcomes model. The method proposed makes smooth parametric assumptions only on quantities that are directly relevant to the goal of estimating the optimal rules. We illustrate the methodology proposed via a small simulation.
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Cited by
Difference-in-Differences with multiple time periods
Callaway, B., & Sant’Anna, P. H. C. (2021) · Journal of Econometrics · doi:10.1016/j.jeconom.2020.12.001 · Cited by 9,126
Collins, L. M., Murphy, S. A., & Strecher, V. (2007) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.01.022 · Cited by 1,082
Self-citationAn experimental design for the development of adaptive treatment strategies
Murphy, S. A. (2005) · Statistics in Medicine · doi:10.1002/sim.2022 · Cited by 746
Self-citationA Conceptual Framework for Adaptive Preventive Interventions
Collins, L. M., Murphy, S. A., & Bierman, K. L. (2004) · Prevention Science · doi:10.1023/b:prev.0000037641.26017.00 · Cited by 608
Self-citationYao, L., Chu, Z., Li, S., Li, Y., Gao, J., & Zhang, A. (2021) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3444944 · Cited by 478
Metadata
- Authors
- Murphy, S. A.
- Venue
- Journal of the Royal Statistical Society Series B: Statistical Methodology
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-04-25
- Volume
- 65
- Issue
- 2
- Pages
- 331-355
- ISSN
- 1369-7412 (ISSN-L)
- 1467-9868
- OpenAlex
- W2165612525
- Cited by
- 1,007
- References
- 3
- FWCI
- 15.00
- Type
- journal article
- Language
- en
- Open access
- green
- Funders
- National Institute for Drug Abuse (2P50 DA 10075)
- National Institute for Drug Abuse career scientist (K02 DA 15674)
- National Science Foundation (DMS 9802885)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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