These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

279 related articles for article (PubMed ID: 30069613)

  • 1. Exact Gradients Improve Parameter Estimation in Nonlinear Mixed Effects Models with Stochastic Dynamics.
    Olafsdottir HK; Leander J; Almquist J; Jirstrand M
    AAPS J; 2018 Aug; 20(5):88. PubMed ID: 30069613
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using sensitivity equations for computing gradients of the FOCE and FOCEI approximations to the population likelihood.
    Almquist J; Leander J; Jirstrand M
    J Pharmacokinet Pharmacodyn; 2015 Jun; 42(3):191-209. PubMed ID: 25801663
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stochastic nonlinear mixed effects: a metformin case study.
    Matzuka B; Chittenden J; Monteleone J; Tran H
    J Pharmacokinet Pharmacodyn; 2016 Feb; 43(1):85-98. PubMed ID: 26585899
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Non-linear mixed-effects models with stochastic differential equations: implementation of an estimation algorithm.
    Overgaard RV; Jonsson N; Tornøe CW; Madsen H
    J Pharmacokinet Pharmacodyn; 2005 Feb; 32(1):85-107. PubMed ID: 16175312
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Stochastic differential equations in NONMEM: implementation, application, and comparison with ordinary differential equations.
    Tornøe CW; Overgaard RV; Agersø H; Nielsen HA; Madsen H; Jonsson EN
    Pharm Res; 2005 Aug; 22(8):1247-58. PubMed ID: 16078134
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Population stochastic modelling (PSM)--an R package for mixed-effects models based on stochastic differential equations.
    Klim S; Mortensen SB; Kristensen NR; Overgaard RV; Madsen H
    Comput Methods Programs Biomed; 2009 Jun; 94(3):279-89. PubMed ID: 19268387
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
    Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
    Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predictive performance for population models using stochastic differential equations applied on data from an oral glucose tolerance test.
    Møller JB; Overgaard RV; Madsen H; Hansen T; Pedersen O; Ingwersen SH
    J Pharmacokinet Pharmacodyn; 2010 Feb; 37(1):85-98. PubMed ID: 20013304
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimation of nonlinear mixed-effects continuous-time models using the continuous-discrete extended Kalman filter.
    Ou L; Hunter MD; Lu Z; Stifter CA; Chow SM
    Br J Math Stat Psychol; 2023 Nov; 76(3):462-490. PubMed ID: 37674379
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of uncertainty parameters estimated by different population PK software and methods.
    Dartois C; Lemenuel-Diot A; Laveille C; Tranchand B; Tod M; Girard P
    J Pharmacokinet Pharmacodyn; 2007 Jun; 34(3):289-311. PubMed ID: 17216368
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A review on estimation of stochastic differential equations for pharmacokinetic/pharmacodynamic models.
    Donnet S; Samson A
    Adv Drug Deliv Rev; 2013 Jun; 65(7):929-39. PubMed ID: 23528446
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Mixed Effects Modeling Using Stochastic Differential Equations: Illustrated by Pharmacokinetic Data of Nicotinic Acid in Obese Zucker Rats.
    Leander J; Almquist J; Ahlström C; Gabrielsson J; Jirstrand M
    AAPS J; 2015 May; 17(3):586-96. PubMed ID: 25693487
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparing the performance of first-order conditional estimation (FOCE) and different expectation-maximization (EM) methods in NONMEM: real data experience with complex nonlinear parent-metabolite pharmacokinetic model.
    Bach T; An G
    J Pharmacokinet Pharmacodyn; 2021 Aug; 48(4):581-595. PubMed ID: 33884580
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Density-based Monte Carlo filter and its applications in nonlinear stochastic differential equation models.
    Huang G; Wan J; Chen H
    Comput Biol Med; 2013 Feb; 43(2):135-43. PubMed ID: 23246109
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of an NLME-Stochastic Deconvolution Approach to Level A IVIVC Modeling.
    Kakhi M; Suarez-Sharp S; Shepard T; Chittenden J
    J Pharm Sci; 2017 Jul; 106(7):1905-1916. PubMed ID: 28341596
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Pharmacokinetic/pharmacodynamic modelling of GnRH antagonist degarelix: a comparison of the non-linear mixed-effects programs NONMEM and NLME.
    Tornøe CW; Agersø H; Nielsen HA; Madsen H; Jonsson EN
    J Pharmacokinet Pharmacodyn; 2004 Dec; 31(6):441-61. PubMed ID: 16222784
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nonlinearity detection: advantages of nonlinear mixed-effects modeling.
    Jonsson EN; Wade JR; Karlsson MO
    AAPS PharmSci; 2000; 2(3):E32. PubMed ID: 11741248
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A matlab framework for estimation of NLME models using stochastic differential equations: applications for estimation of insulin secretion rates.
    Mortensen SB; Klim S; Dammann B; Kristensen NR; Madsen H; Overgaard RV
    J Pharmacokinet Pharmacodyn; 2007 Oct; 34(5):623-42. PubMed ID: 17571242
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A fast method for testing covariates in population PK/PD Models.
    Khandelwal A; Harling K; Jonsson EN; Hooker AC; Karlsson MO
    AAPS J; 2011 Sep; 13(3):464-72. PubMed ID: 21725709
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Stochastic differential equations as a tool to regularize the parameter estimation problem for continuous time dynamical systems given discrete time measurements.
    Leander J; Lundh T; Jirstrand M
    Math Biosci; 2014 May; 251():54-62. PubMed ID: 24631177
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.