Pages that link to "Item:Q5220804"
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The following pages link to Joint modelling of longitudinal and repeated time-to-event data using nonlinear mixed-effects models and the stochastic approximation expectation–maximization algorithm (Q5220804):
Displaying 5 items.
- Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule (Q425636) (← links)
- Inferences for joint modelling of repeated ordinal scores and time to event data (Q612818) (← links)
- f-SAEM: a fast stochastic approximation of the EM algorithm for nonlinear mixed effects models (Q2008004) (← links)
- Mixed effects models for recurrent events data with partially observed time-varying covariates: ecological momentary assessment of smoking (Q2805177) (← links)
- Bayesian inference using Hamiltonian Monte-Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy (Q6617433) (← links)