Optimization of randomized controlled trial design in neurosurgery using simulation
Meade, S. M., Salas-Vega, S., Nowacki, A. S. & Habboub, G.
(2023).
Optimization of randomized controlled trial design in neurosurgery using simulation.
World Neurosurgery,
174, 229 - 230.
https://doi.org/10.1016/j.wneu.2023.03.072
Personalized medicine is a shared global priority and is justified by an increased understanding of the genetic and proteomic basis of disease, established concerns of increasing treatment heterogeneity, and continued innovation in the analysis of big data using computing and data analysis.1 Generating high-quality evidence for causal relationships between patients, treatments, and outcomes is crucial to developing personalized health care models for clinical decision making.
| Item Type | Article |
|---|---|
| Copyright holders | © 2023 Elsevier. |
| Departments | LSE > Research Centres > LSE Health |
| DOI | 10.1016/j.wneu.2023.03.072 |
| Date Deposited | 15 May 2023 |
| URI | https://researchonline.lse.ac.uk/id/eprint/119198 |
Explore Further
- https://www.scopus.com/pages/publications/85153881929 (Scopus publication)
- https://www.sciencedirect.com/journal/world-neuros... (Official URL)