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Personalized Treatment Selection using Data from Crossover Designs with Carry Over Effects

In this work we propose a semi-parametric method for estimating the optimal treatment for a given patient based on individual covariate information for that patient when data from a crossover design are available. Here we assume there are carryover effects for patients switching from one treatment t...

詳細記述

保存先:
書誌詳細
出版年:Stat Med
主要な著者: Siriwardhana, Chathura, Kulasekera, K.B., Datta, Somnath
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6842056/
https://ncbi.nlm.nih.gov/pubmed/31637762
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8372
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