Evaluating sensitivity to classification uncertainty in latent subgroup effect analyses

Evaluating sensitivity to classification uncertainty in latent subgroup effect analyses

Abstract Background Increasing attention is being given to assessing treatment effect heterogeneity among individuals belonging to qualitatively different latent subgroups. Inference routinely proceeds by first partitioning the individuals into subgroups, then estimating the subgroup-specific averag...

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Bibliographic Details
Main Authors: Wen Wei Loh, Jee-Seon Kim
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Medical Research Methodology
Subjects:
Causal inference
Finite mixture models
Latent class analysis
Parametric bootstrap
Perturbed confidence interval
Sensitivity analysis
Online Access:https://doi.org/10.1186/s12874-022-01720-8

Internet

https://doi.org/10.1186/s12874-022-01720-8

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