Joint modelling of longitudinal and multi-state processes: Application to clinical progressions in prostate cancer

Loïc Ferrer, Virginie Rondeau, James Dignam, Tom Pickles · 2016 · DOI 10.1002/sim.6972

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stat.ME · 2026-06-09 · unverdicted · novelty 6.0

Firth-corrected joint model via modified EM algorithm reduces bias from separation in categorical covariates for longitudinal-survival data.

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Adressing Separation: A Firth-corrected Joint Model for Longitudinal and Time-to-event Data with an Application on Dropout from Vocational Training stat.ME · 2026-06-09 · unverdicted · none · ref 26
Firth-corrected joint model via modified EM algorithm reduces bias from separation in categorical covariates for longitudinal-survival data.