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Estimation and extrapolation of optimal treatment and testing strategies
journal contribution
posted on 2008-10-15, 00:00 authored by J Robins, Liliana OrellanaLiliana Orellana, A RotnitzkyWe review recent developments in the estimation of an optimal treatment strategy or regime from longitudinal data collected in an observational study. We also propose novel methods for using the data obtained from an observational database in one health-care system to determine the optimal treatment regime for biologically similar subjects in a second health-care system when, for cultural, logistical, or financial reasons, the two health-care systems differ (and will continue to differ) in the frequency of, and reasons for, both laboratory tests and physician visits. Finally, we propose a novel method for estimating the optimal timing of expensive and/or painful diagnostic or prognostic tests. Diagnostic or prognostic tests are only useful in so far as they help a physician to determine the optimal dosing strategy, by providing information on both the current health state and the prognosis of a patient because, in contrast to drug therapies, these tests have no direct causal effect on disease progression. Our new method explicitly incorporates this no direct effect restriction.
History
Journal
Statistics in medicineVolume
27Issue
23Pagination
4678 - 4721Publisher
WileyLocation
London, Eng.Publisher DOI
ISSN
0277-6715Language
engPublication classification
C Journal article; C1.1 Refereed article in a scholarly journalCopyright notice
2008, Wiley-BlackwellUsage metrics
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Keywords
Antiretroviral Therapy, Highly ActiveBias (Epidemiology)Data Interpretation, StatisticalHIV InfectionsHumansLongitudinal StudiesModels, StatisticalPrognosisTreatment OutcomeScience & TechnologyLife Sciences & BiomedicinePhysical SciencesMathematical & Computational BiologyPublic, Environmental & Occupational HealthMedical InformaticsMedicine, Research & ExperimentalStatistics & ProbabilityResearch & Experimental MedicineMathematicsdynamic regimecausal inferencemarginal structural modelvalue of informationDYNAMIC TREATMENT REGIMESMODELSStatistics
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