Non-linear mixed effects modeling–from methodology and software development to driving implementation in drug development science

G Pillai, F Mentré, JL Steimer - Journal of pharmacokinetics and …, 2005 - Springer
Few scientific contributions have made significant impact unless there was a champion who
had the vision to see the potential for its use in seemingly disparate areas—and who then …

[图书][B] Optimal design for nonlinear response models

VV Fedorov, SL Leonov - 2013 - books.google.com
Optimal Design for Nonlinear Response Models discusses the theory and applications of
model-based experimental design with a strong emphasis on biopharmaceutical studies …

Optimal design in pediatric pharmacokinetic and pharmacodynamic clinical studies

JK Roberts, C Stockmann, A Balch, T Yu… - Pediatric …, 2015 - Wiley Online Library
It is not trivial to conduct clinical trials with pediatric participants. Ethical, logistical, and
financial considerations add to the complexity of pediatric studies. Optimal design theory …

PopED: an extended, parallelized, nonlinear mixed effects models optimal design tool

J Nyberg, S Ueckert, EA Strömberg, S Hennig… - Computer methods and …, 2012 - Elsevier
Several developments have facilitated the practical application and increased the general
use of optimal design for nonlinear mixed effects models. These developments include new …

Design evaluation and optimisation in multiple response nonlinear mixed effect models: PFIM 3.0

C Bazzoli, S Retout, F Mentré - Computer methods and programs in …, 2010 - Elsevier
Nonlinear mixed effect models (NLMEM) with multiple responses are increasingly used in
pharmacometrics, one of the main examples being the joint analysis of the pharmacokinetics …

Methods and software tools for design evaluation in population pharmacokinetics–pharmacodynamics studies

J Nyberg, C Bazzoli, K Ogungbenro… - British journal of …, 2015 - Wiley Online Library
Population pharmacokinetic (PK)–pharmacodynamic (PKPD) models are increasingly used
in drug development and in academic research; hence, designing efficient studies is an …

Design in nonlinear mixed effects models: optimization using the Fedorov–Wynn algorithm and power of the Wald test for binary covariates

S Retout, E Comets, A Samson… - Statistics in Medicine, 2007 - Wiley Online Library
We extend the methodology for designs evaluation and optimization in nonlinear mixed
effects models with an illustration of the decrease of human immunodeficiency virus viral …

Designs for generalized linear models

AC Atkinson, DC Woods - Handbook of design and analysis of …, 2015 - api.taylorfrancis.com
The methods of experimental design described in the majority of the earlier chapters are
appropriate if the continuous response, perhaps after transformation, has independent …

[图书][B] Optimal sensor networks scheduling in identification of distributed parameter systems

M Patan - 2012 - books.google.com
Sensor networks have recently come into prominence because they hold the potential to
revolutionize a wide spectrum of both civilian and military applications. An ingenious …

The SAEM algorithm for group comparison tests in longitudinal data analysis based on non‐linear mixed‐effects model

A Samson, M Lavielle, F Mentré - Statistics in medicine, 2007 - Wiley Online Library
Non‐linear mixed‐effects models (NLMEMs) are used to improve information gathering from
longitudinal studies and are applied to treatment evaluation in disease‐evolution studies …