نتایج جستجو برای: non linear multivariable regression analysis
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OBJECTIVES To identify factors associated with Opioid Agonist Treatment (OAT) satisfaction and to determine whether these relationships are gender specific. METHODS This study was based on data collected in a cross-sectional study among long-term opioid-dependent individuals (n = 160; 46.3% women). Participants completed the Client Satisfaction Questionnaire in reference to OAT episodes. Soci...
OBJECTIVES We sought to determine the clinical factors and heritability associated with inflammation measured as circulating levels of soluble-intercellular adhesion molecule-1 (sICAM-1) in a community-based cohort. BACKGROUND Several prospective studies indicate that circulating sICAM-1 is predictive of future cardiovascular events. However, in some studies this predictive value is lost afte...
In this contribution, genetic programming is combined with continuum regression to produce two novel non-linear continuum regression algorithms. The first is a ‘sequential’ algorithm while the second, adopts a ‘team-based’ strategy. Having discussed continuum regression, the modifications required to extend the algorithm for non-linear modelling are outlined. The results of applying the derived...
We introduce a regression model for data on non-linear manifolds. The model describes the relation between a set of manifold valued observations, such as shapes of anatomical objects, and Euclidean explanatory variables. The approach is based on stochastic development of Euclidean diffusion processes to the manifold. Defining the data distribution as the transition distribution of the mapped st...
Linear regression amounts to estimating a linear model that maps features (e.g., age or gender) to corresponding data (e.g., the answer to a survey or the outcome of a medical exam). It is a ubiquitous tool in experimental sciences. We study a setting in which features are public but the data is private information. While the estimation of the linear model may be useful to participating individ...
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