Longitudinal plasmode algorithms to evaluate statistical methods in realistic scenarios: an illustration applied to occupational epidemiology

Longitudinal plasmode algorithms to evaluate statistical methods in realistic scenarios: an illustration applied to occupational epidemiology

Abstract Introduction Plasmode simulations are a type of simulations that use real data to determine the synthetic data-generating equations. Such simulations thus allow evaluating statistical methods under realistic conditions. As far as we know, no plasmode algorithm has been proposed for simulati...

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Bibliografische gegevens
Hoofdauteurs: Youssra Souli, Xavier Trudel, Awa Diop, Chantal Brisson, Denis Talbot
Formaat: Artikel
Taal:English
Gepubliceerd in: BMC 2023-10-01
Reeks:BMC Medical Research Methodology
Onderwerpen:
Causal inference
Plasmode
Psychosocial stressors
Random forest
Regression modeling
Simulation
Online toegang:https://doi.org/10.1186/s12874-023-02062-9

Internet

https://doi.org/10.1186/s12874-023-02062-9

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