Results 61 to 70 of about 741,734 (189)
Personalized medicine enrichment design for DHA supplementation clinical trial
Contemporary Clinical Trials Communications, 2017 Personalized medicine aims to match patient subpopulation to the most beneficial treatment. The purpose of this study is to design a prospective clinical trial in which we hope to achieve the highest level of confirmation in identifying and making ...
Yang Lei +3 more
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Revstat Statistical Journal, 2006 Often in discriminant analysis several models are estimated but based on some validation criterion, a single model is selected. In the purpose of taking profit from several potential models, classification rules combining models are considered in this ...
Isabel Brito +2 more
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Journal of MathematicsBoth frequentist and Bayesian statistics schools have improved statistical tools and model choices for the collected data or measurements. Model selection approaches have advanced due to the difficulty of comparing complicated hierarchical models in ...
Endris Assen Ebrahim +2 more
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BMC Medical Research Methodology, 2017 Background The analysis of correlated binary data is commonly addressed through the use of conditional models with random effects included in the systematic component as opposed to generalized estimating equations (GEE) models that addressed the random ...
Jie Pu, Di Fang, Jeffrey R. Wilson
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Optimal shrinkage estimation in heteroscedastic hierarchical linear models
, 2015 Shrinkage estimators have profound impacts in statistics and in scientific and engineering applications. In this article, we consider shrinkage estimation in the presence of linear predictors.
Kou, Samuel, Yang, Justin J.
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Statistica, 2007 In this paper we introduce shrinkage estimators for the estimation of the Unemployment rate in small domains of the Italian Labour Force Survey. The proposed estimators are based on Hierarchical Linear Mixed Models and on the borrowing strength on both ...
Enrico Fabrizi
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Suppressor variables and multilevel mixture modelling. [PDF]
, 2006 A major issue in educational research involves taking into consideration the multilevel nature of the data. Since the late 1980s, attempts have been made to model social science data that conform to a nested structure.
Darmawan, I Gusti Ngurah +1 more
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A Framework to Interpret Nonstandard Log-Linear Models
Austrian Journal of Statistics, 2016 The formulation of log-linear models within the framework of Generalized Linear Models offers new possibilities in modeling categorical data. The resulting models are not restricted to the analysis of contingency tables in terms of ordinary hierarchical ...
Patrick Mair
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An introduction to hierarchical linear modeling [PDF]
Tutorials in Quantitative Methods for Psychology, 2012 This tutorial aims to introduce Hierarchical Linear Modeling (HLM). A simple explanation of HLM is provided that describes when to use this statistical technique and identifies key factors to consider before conducting this analysis. The first section of
Heather Woltman +3 more
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Within and Between Group Variation of Individual Strategies in Common Pool Resources: Evidence from Field Experiments [PDF]
With data from framed common pool resource experiments conducted with artisanal fishing communities in Colombia, we estimate a hierarchical linear model to investigate within-group and between-group variation in individual harvest strategies across ...
James J. Murphy +2 more
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