Firth-corrected joint model via modified EM algorithm reduces bias from separation in categorical covariates for longitudinal-survival data.
An Overview of Joint Modeling of Time-to-Event and Longitudinal Outcomes , volume =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Adressing Separation: A Firth-corrected Joint Model for Longitudinal and Time-to-event Data with an Application on Dropout from Vocational Training
Firth-corrected joint model via modified EM algorithm reduces bias from separation in categorical covariates for longitudinal-survival data.