Open AccessINSP-01. What to do when you cannot randomize? Leveraging Historical Data in Efficient Study Designs for Pediatric Neuro-Oncology.
Author(s) -
Arzu OnarThomas
Publication year - 2022
Publication title -
neuro-oncology
Language(s) - English
Resource type - Journals
eISSN - 1523-5866
pISSN - 1522-8517
DOI - 10.1093/neuonc/noac079.697
Subject(s) - medicine , randomized controlled trial , sample size determination , selection bias , research design , clinical study design , pediatric oncology , clinical trial , matching (statistics) , covariate , propensity score matching , medical physics , oncology , computer science , cancer , statistics , machine learning , mathematics , pathology
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