Comparison of Bayesian Networks, G-estimation and linear models to estimate causal treatment effects in aggregated N-of-1 trials with carry-over effects

Comparison of Bayesian Networks, G-estimation and linear models to estimate causal treatment effects in aggregated N-of-1 trials with carry-over effects

Abstract Background The aggregation of a series of N-of-1 trials presents an innovative and efficient study design, as an alternative to traditional randomized clinical trials. Challenges for the statistical analysis arise when there is carry-over or complex dependencies of the treatment effect of i...

Full description

Bibliographic Details
Main Authors: Thomas Gärtner, Juliana Schneider, Bert Arnrich, Stefan Konigorski
Format: Article
Language:English
Published: BMC 2023-08-01
Series:BMC Medical Research Methodology
Subjects:
N-of-1 trials
Randomized clinical trials
Bayesian Networks
G-estimation
Linear model
Simulation study
Online Access:https://doi.org/10.1186/s12874-023-02012-5

Internet

https://doi.org/10.1186/s12874-023-02012-5

Similar Items