BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 21229340)

  • 21. Comparing the performance of FOCE and different expectation-maximization methods in handling complex population physiologically-based pharmacokinetic models.
    Liu X; Wang Y
    J Pharmacokinet Pharmacodyn; 2016 Aug; 43(4):359-70. PubMed ID: 27215925
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Improved numerical stability for the bounded integer model.
    Ueckert S; Karlsson MO
    J Pharmacokinet Pharmacodyn; 2021 Apr; 48(2):241-251. PubMed ID: 33242184
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects.
    Panhard X; Samson A
    Biostatistics; 2009 Jan; 10(1):121-35. PubMed ID: 18583352
    [TBL] [Abstract][Full Text] [Related]  

  • 24. The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model.
    Samson A; Lavielle M; Mentré F
    Stat Med; 2007 Nov; 26(27):4860-75. PubMed ID: 17562540
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Improving the estimation of parameter uncertainty distributions in nonlinear mixed effects models using sampling importance resampling.
    Dosne AG; Bergstrand M; Harling K; Karlsson MO
    J Pharmacokinet Pharmacodyn; 2016 Dec; 43(6):583-596. PubMed ID: 27730482
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Mixed model estimation methods for the Rasch model.
    Rijmen F; Tuerlinckx F; Meulders M; Smits DJ; Balázs K
    J Appl Meas; 2005; 6(3):273-88. PubMed ID: 15942071
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Evaluation of type I error rates when modeling ordered categorical data in NONMEM.
    Wählby U; Matolcsi K; Karlsson MO; Jonsson EN
    J Pharmacokinet Pharmacodyn; 2004 Feb; 31(1):61-74. PubMed ID: 15346852
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Assessment of the nlmixr R package for population pharmacokinetic modeling: A metformin case study.
    Mak WY; Ooi QX; Cruz CV; Looi I; Yuen KH; Standing JF
    Br J Clin Pharmacol; 2023 Jan; 89(1):330-339. PubMed ID: 35976674
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model.
    Meng X; Xu G
    Psychometrika; 2023 Dec; 88(4):1407-1442. PubMed ID: 35648266
    [TBL] [Abstract][Full Text] [Related]  

  • 30. REML estimation of variance parameters in nonlinear mixed effects models using the SAEM algorithm.
    Meza C; Jaffrézic F; Foulley JL
    Biom J; 2007 Dec; 49(6):876-88. PubMed ID: 17638294
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Assessment of type I error rates for the statistical sub-model in NONMEM.
    Wählby U; Bouw MR; Jonsson EN; Karlsson MO
    J Pharmacokinet Pharmacodyn; 2002 Jun; 29(3):251-69. PubMed ID: 12449498
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm.
    Chow SM; Lu Z; Sherwood A; Zhu H
    Psychometrika; 2016 Mar; 81(1):102-34. PubMed ID: 25416456
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of IVGTT minimal glucose model by nonlinear mixed-effects approaches.
    Denti P; Bertoldo A; Vicini P; Cobelli C
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():5049-52. PubMed ID: 17947129
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Performance of different population pharmacokinetic algorithms.
    Colucci P; Grenier J; Yue CS; Turgeon J; Ducharme MP
    Ther Drug Monit; 2011 Oct; 33(5):583-91. PubMed ID: 21912327
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Evaluation of the nonparametric estimation method in NONMEM VI: application to real data.
    Baverel PG; Savic RM; Wilkins JJ; Karlsson MO
    J Pharmacokinet Pharmacodyn; 2009 Aug; 36(4):297-315. PubMed ID: 19572188
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Accelerated maximum likelihood parameter estimation for stochastic biochemical systems.
    Daigle BJ; Roh MK; Petzold LR; Niemi J
    BMC Bioinformatics; 2012 May; 13():68. PubMed ID: 22548918
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A Copula Approach to Joint Modeling of Longitudinal Measurements and Survival Times Using Monte Carlo Expectation-Maximization with Application to AIDS Studies.
    Ganjali M; Baghfalaki T
    J Biopharm Stat; 2015; 25(5):1077-99. PubMed ID: 25372017
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Modeling biomarker variability in joint analysis of longitudinal and time-to-event data.
    Wang C; Shen J; Charalambous C; Pan J
    Biostatistics; 2024 Apr; 25(2):577-596. PubMed ID: 37230468
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Estimating bias in population parameters for some models for repeated measures ordinal data using NONMEM and NLMIXED.
    Jönsson S; Kjellsson MC; Karlsson MO
    J Pharmacokinet Pharmacodyn; 2004 Aug; 31(4):299-320. PubMed ID: 15563005
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.