A new cAIC formula that assumes multivariate normal random effects performs robustly across continuous and discrete observation distributions in nonlinear mixed-effects model simulation.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A note on numerical evaluation of conditional Akaike information for nonlinear mixed-effects models
A new cAIC formula that assumes multivariate normal random effects performs robustly across continuous and discrete observation distributions in nonlinear mixed-effects model simulation.