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saem (stochastic approximation expectation maximization) algorithm  (SAS institute)


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    SAS institute saem (stochastic approximation expectation maximization) algorithm
    Saem (Stochastic Approximation Expectation Maximization) Algorithm, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/saem+(stochastic+approximation+expectation+maximization)+algorithm/stochastic+approximation+expectation+maximization++saem++algorithm/pm38678967-69-20-33
    Average 90 stars, based on 1 article reviews
    saem (stochastic approximation expectation maximization) algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Population pharmacokinetics and covariate-based dosing individualization of voriconazole in lung transplant recipients.
    Article Snippet: This study aimed to explore pharmacokinetics of voriconazole and its covariates in lung transplant recipients using population approach in order to propose dosing individualization.. Data from routine therapeutic drug monitoring in adult lung transplant recipients treated with oral voriconazole were analysed with a three-stage population pharmacokinetic model using nonlinear mixed-effects modelling.. Monte Carlo simulations based on final voriconazole pharmacokinetic model were used to generate the theoretical distribution of pharmacokinetic profiles at various dosing regimens.

    Article Title: A novel dosing approach for rituximab in glomerular diseases based on a population pharmacokinetic analysis.
    Article Snippet: The model parameters were assumed to be log-normally distributed and were estimated by means of the maximum likelihood applying the SAEM (Stochastic Approximation Expectation Maximization) algorithm in Monolix Suite software version 2021R2 (Lixoft SAS, Antony, France).

    Article Title: A multi-layered systems approach for renal cell carcinoma
    Article Snippet: To compute the parameters of interest, we maximized the likelihood of the pooled data using the stochastic approximation expectation maximization (SAEM) algorithm implemented within the Monolix 2019R1 software (Lixoft SAS).

    Article Title: Superiority of ceftazidime off-label high-dose regimen in PK/PD target attainment during treatment of extensively drug-resistant Pseudomonas aeruginosa infections in cancer patients.
    Article Snippet: 4th Department of Internal Medicine – Hematology, University Hospital Hradec Kralove and Faculty of Medicine in Hradec Kralove, Charles University, Hradec Kralove, Czech Republic Department of Pharmacology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic Institute of Clinical Biochemistry, University Hospital Hradec Kralove and Charles University in Prague, Faculty of Medicine in Hradec Kralove, Hradec Kralove, Czech Republic Department of Clinical Pharmacy, Hospital Pharmacy, Faculty of Pharmacy in Hradec Kralove, Charles University and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic Department of Clinical Microbiology, University Hospital Hradec Kralove and Faculty of Medicine in Hradec Kralove, Charles University, Hradec Kralove, Czech Republic

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    Article Title: Impact of pharmacogenetics on variability in exposure to oral vinorelbine among pediatric patients: a model-based population pharmacokinetic analysis.
    Article Snippet: Purpose Better understanding of pharmacokinetics of oral vinorelbine (VNR) in children would help predicting drug exposure and, beyond, clinical outcome.. Here, we have characterized the population pharmacokinetics of oral VNR and studied the factors likely to explain the variability observed in VNR exposure among young patients.. Design/methods We collected blood samples from 36 patients (mean age 11.6 years) of the OVIMA multicentric phase II study in children with recurrent/progressive low-grade glioma.

    Article Title: Limited sampling strategy and population pharmacokinetic model of mycophenolic acid in pediatric patients with systemic lupus erythematosus: application of a double gamma absorption model with SAEM algorithm.
    Article Snippet: Introduction Mycophenolic acid (MPA), the active metabolite of mycophenolate mofetil (MMF), is widely used in the treatment of systemic lupus erythematosus (SLE).. It has been shown that its therapeutic drug monitoring based on the area under the curve (AUC) improves treatment efficacy.. MPA exhibits a complex bimodal absorption, and a double gamma distribution model has been already proposed in the past to accurately describe this phenomenon.



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    Parameter estimates of the metastatic and survival models obtained by likelihood maximization via the  SAEM  algorithm.

    Journal: PLOS Computational Biology

    Article Title: Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment

    doi: 10.1371/journal.pcbi.1012088

    Figure Lengend Snippet: Parameter estimates of the metastatic and survival models obtained by likelihood maximization via the SAEM algorithm.

    Article Snippet: Maximum likelihood estimates of the population parameters were obtained using the Stochastic Approximation of Expectation-Maximization (SAEM) algorithm implemented in the nlmefitsa Matlab function [ ].

    Techniques: In Vitro