Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, part I: Main content

Dynamic treatment regimes are set rules for sequential decision making based on patient covariate history. Observational studies are well suited for the investigation of the effects of dynamic treatment regimes because of the variability in treatment decisions found in them. This variability exists...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Orellana, L., Rotnitzky, A., Robins, J.M.
Formato: JOUR
Materias:
Causality
Double-robust
Dynamic treatment regime
Inverse probability weighted
Marginal structural model
Optimal treatment regime
article
disease registry
mathematical model
medical decision making
patient information
probability
register
statistical analysis
treatment planning
algorithm
clinical trial (topic)
longitudinal study
methodology
statistical model
statistics
marginal structural model
decision making
Algorithms
Clinical Trials as Topic
Longitudinal Studies
Models, Statistical
Probability
Research Design
Decision Making
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15574679_v6_n2_p_Orellana
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

Ejemplares similares

Ejemplares similares