A Monte Carlo EM algorithm with importance sampling enables fitting semi-Markov multistate models to multiple, interval-censored data streams, yielding estimates of REGEN-COV's protective efficacy against asymptomatic infection and shorter viral shedding.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams
A Monte Carlo EM algorithm with importance sampling enables fitting semi-Markov multistate models to multiple, interval-censored data streams, yielding estimates of REGEN-COV's protective efficacy against asymptomatic infection and shorter viral shedding.