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Showing 1 to 3 of 3 for “"nonlinear regression method"”.

  1. Analysis of the Repeated Measurement Data using the Hierarchical Clustering and Nonlinear Regression Methods in Asthma Pharmacogenetic Study

    OBJECTIVE: We examined several analytic methods for predicting therapeutic response to drug in Korea asthmatics and tried to develop a clinical model to predict the drug response to asthma drug. BACKGROUND: Long acting β2-agonists (LABA) is the most powerful bronchodilator and inhaled …

    ajou Repository record for Analysis of the Repeated Measurement Data using the Hierarchical Clustering and Nonlinear Regression Methods in Asthma Pharmacogenetic Study (opens in a new tab)

  2. Parametric modeling of dependence of bivariate quantile regression residuals' signs

    In this thesis, we propose a non-parametric method to study the dependence of the quantiles of a multivariate response conditional on a set of covariates. We define a statistic that measures the conditional probability of concordance of the signs of the residuals of the conditional quantiles of …

    cagliari Repository record for Parametric modeling of dependence of bivariate quantile regression residuals' signs (opens in a new tab)

  3. Application of artificial neural networks in breast and colorectal surgery

    … to them. Artificial neural networks (ANNs) are a nonlinear regression method capable of accurately predicting outcome in an individual patient. We identified two scenarios where accurate prediction in individual patient can greatly influence their management.In the first study, we investigated the …

    hull Repository record for Application of artificial neural networks in breast and colorectal surgery (opens in a new tab)