Evaluation of the Fisher information matrix in nonlinear mixed effect models using adaptive Gaussian quadrature

DOI10.1016/j.csda.2014.06.011zbMath1506.62136OpenAlexW2083793917MaRDI QIDQ1623692

Thu Thuy Nguyen, France Mentré

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://www.hal.inserm.fr/inserm-01077176/file/ManuscriptHAL_CSDA_TTNguyen.pdf

zbMATH Keywords

designFisher information matrixlinearisationdose-response studiesadaptive Gaussian quadraturenonlinear mixed effect model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05)

Related Items (1)

A new method for evaluation of the Fisher information matrix for discrete mixed effect models using Monte Carlo sampling and adaptive Gaussian quadrature

Uses Software

• PFIM

Cites Work

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