BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

95 related articles for article (PubMed ID: 3631311)

  • 1. Optimal experiment design for nonlinear models subject to large prior uncertainties.
    Walter E; Pronzato L
    Am J Physiol; 1987 Sep; 253(3 Pt 2):R530-4. PubMed ID: 3631311
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Robust designs in longitudinal studies accounting for parameter and model uncertainties - application to count data.
    Loingeville F; Nguyen TT; Riviere MK; Mentré F
    J Biopharm Stat; 2020; 30(1):31-45. PubMed ID: 31032703
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stochastic optimization algorithms of a Bayesian design criterion for Bayesian parameter estimation of nonlinear regression models: application in pharmacokinetics.
    Merlé Y; Mentré F
    Math Biosci; 1997 Aug; 144(1):45-70. PubMed ID: 9232968
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Implementation of OSPOP, an algorithm for the estimation of optimal sampling times in pharmacokinetics by the ED, EID and API criteria.
    Tod M; Rocchisani JM
    Comput Methods Programs Biomed; 1996 Jun; 50(1):13-22. PubMed ID: 8835836
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optimal experiment design for cardinal values estimation: guidelines for data collection.
    Bernaerts K; Gysemans KP; Nhan Minh T; Van Impe JF
    Int J Food Microbiol; 2005 Apr; 100(1-3):153-65. PubMed ID: 15854701
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Assessing robustness of designs for random effects parameters for nonlinear mixed-effects models.
    Duffull SB; Hooker AC
    J Pharmacokinet Pharmacodyn; 2017 Dec; 44(6):611-616. PubMed ID: 29064062
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimal experimental design with the sigma point method.
    Schenkendorf R; Kremling A; Mangold M
    IET Syst Biol; 2009 Jan; 3(1):10-23. PubMed ID: 19154081
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Experimental Design for Stochastic Models of Nonlinear Signaling Pathways Using an Interval-Wise Linear Noise Approximation and State Estimation.
    Zimmer C
    PLoS One; 2016; 11(9):e0159902. PubMed ID: 27583802
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Robust population pharmacokinetic experiment design.
    Dodds MG; Hooker AC; Vicini P
    J Pharmacokinet Pharmacodyn; 2005 Feb; 32(1):33-64. PubMed ID: 16205840
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Design in nonlinear mixed effects models: optimization using the Fedorov-Wynn algorithm and power of the Wald test for binary covariates.
    Retout S; Comets E; Samson A; Mentré F
    Stat Med; 2007 Dec; 26(28):5162-79. PubMed ID: 17486667
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust optimal design for the estimation of hyperparameters in population pharmacokinetics.
    Tod M; Mentré F; Merlé Y; Mallet A
    J Pharmacokinet Biopharm; 1998 Dec; 26(6):689-716. PubMed ID: 10485081
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Robust designs accounting for model uncertainty in longitudinal studies with binary outcomes.
    Seurat J; Nguyen TT; Mentré F
    Stat Methods Med Res; 2020 Mar; 29(3):934-952. PubMed ID: 31131705
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A stochastic optimization model under modeling uncertainty and parameter certainty for groundwater remediation design--part I. Model development.
    He L; Huang GH; Lu HW
    J Hazard Mater; 2010 Apr; 176(1-3):521-6. PubMed ID: 20006432
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme.
    Biehler J; Gee MW; Wall WA
    Biomech Model Mechanobiol; 2015 Jun; 14(3):489-513. PubMed ID: 25245816
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Robust Multi-Objective Global Optimization of Stochastic Processes With a Case Study in Gradient Elution Chromatography.
    Freier L; von Lieres E
    Biotechnol J; 2018 Jan; 13(1):. PubMed ID: 28887910
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Iterative experiment design guides the characterization of a light-inducible gene expression circuit.
    Ruess J; Parise F; Milias-Argeitis A; Khammash M; Lygeros J
    Proc Natl Acad Sci U S A; 2015 Jun; 112(26):8148-53. PubMed ID: 26085136
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Parameter estimation and treatment optimization in a stochastic model for immunotherapy of cancer.
    Diabaté M; Coquille L; Samson A
    J Theor Biol; 2020 Oct; 502():110359. PubMed ID: 32540247
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using Fisher information to quantify uncertainty in environmental parameters estimated from correlated ambient noise.
    Walker SC; Yardim C; Thode A; Arias-Castro E
    J Acoust Soc Am; 2013 Apr; 133(4):EL228-34. PubMed ID: 23556684
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A stochastic optimization model under modeling uncertainty and parameter certainty for groundwater remediation design: part II. Model application.
    He L; Huang GH; Lu HW
    J Hazard Mater; 2010 Apr; 176(1-3):527-34. PubMed ID: 20006433
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.