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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/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, 2026-10
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    Article Title: Population Pharmacokinetics of Prophylactic Cefazolin in Cardiac Surgery with Standard and Minimally Invasive Extracorporeal Circulation
    Article Snippet: .. The Stochastic Approximation Expectation Maximization algorithm was used to estimate the model parameters by maximum likelihood in Monolix Suite software, version 2021R1 (Lixoft SAS, Antony, France), assuming the log-normal distribution of the parameters. ..



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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