Laplacian Estimation for Sparse Data

Parameter estimation using Laplace approximation for sparse pediatric data.

Use Case

Laplacian estimation is ideal for: - Sparse sampling designs - Pediatric populations with limited samples - Binary or categorical outcomes

See Also

• FOCE-I Example
• SAEM Example