Contributions from regression analyses of quantitative data
Inconsistent treatment estimates from mis-specified logistic regression analyses of randomized trials
... Indeed, the multiplicity of possible treatment effects has implications for nomenclature. The present paper has used the term asymptotic bias, occasionally shortened to bias, to refer to the differences between the ...
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Contributions to competing risks regression
... death from unrelated causes can be competing ...using regression modeling of the CIF proposed by Fine and Gray (1999) (details are in Section ...stratified regression model of the CIF stratifying on ...
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Contributions to Functional Data Analysis With a Focus on Points of Impact in Functional Regression
... profit from a high local vari- ability which goes along with ...genomics data lead to sample paths with fractal ...functional data analysis it is common practice to smooth observed (discrete) sample ...
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Bayesian regularized regression methods for quantitative genetics with focus on longitudinal data
... traits. From a statistical perspective, multiple linear regression is often used to model, estimate and test the effects of genetic markers on a ...genotype data derived from contemporary ...
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Regression Analyses of Income Inequality Indices
... step from the Lorenz curve to distribution function is more difficult than that from distribution function to the Lorenz ...to data, but are difficult to connect to exact income ...statistical ...
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On Bayesian Analyses of Functional Regression, Correlated Functional Data and Non-homogeneous Computer Models
... emulators run into difficulties when the shape of f has sharp localized features, e.g. abrupt discontinuities or tall peaks, and lead to poor point predictions and selection of future inputs. A simple example is ...
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Combined Analyses of Data From Quantitative Trait Loci Mapping Studies: Chromosome 4 Effects on Porcine Growth and Fatness
... These data have only been analyzed separately so far, netically diverse pig ...information from the ...are data on mark- the presence of QTL detected in only one population ers and performance traits ...
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Performing statistical analyses on quantitative data in Taverna workflows: an example using R and maxdBrowse to identify differentially-expressed genes from microarray data
... struct data analysis ...microarray data analysis workflow since a working knowledge of the R programming language is required to devise the t-test analyses, as well as experience of Java programming ...
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Performing statistical analyses on quantitative data in Taverna workflows: an example using R and maxdBrowse to identify differentially-expressed genes from microarray data
... complex data analysis workflows by entry-level users of ...these analyses to be shared with colleagues and with the wider life sciences ...expert data analysts use R and other similar tools to ...
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Regression Analyses of Xiamen’s Manufacturing Sector, China
... since data and model don’t have serious endogeneity problems and matches with our specific research ...come from within group rather than from cross-sectional dimension. Data was ...
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On the Generalized Poisson Regression Mixture Model for Mapping Quantitative Trait Loci With Count Data
... It is noteworthy that different QTL are involved in the control of tiller growth during different stages of rice development (Figure 3). A QTL detected on chromo- some 3 (marker interval CDO337–RZ337A) has triggered ...
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Qualitative & Quantitative Analyses of Existing Buildings’ Adaptability
... cost data from building adaptation projects is ...additional data, it may be possible to correlate OS and WOS with the cost of adapting floor ...
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Quantitative and Qualitative Analyses of Mediumistic and Psychic Experiences
... Participant recruitment. Recruitment for the current study began during a previous study called the Online Census of Traits and Observations (OCTO) Study. OCTO Study recruitment used email, social media, and word- ...
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Poverty Dynamics in Poland. Selected Quantitative Analyses
... excluded from the labour market after long periods of non-employment has been estimated using the Polish Labour Force Survey – for the periods 1997 and ...logit regression, we test how different transfers ...
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Machine Learning Regression Approach to the Nanophotonic Waveguide Analyses
... Abstract—Machine learning is an application of artificial intel- ligence that focuses on the development of computer algorithms which learn automatically by extracting patterns from the data provided. ...
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Convex mixture regression for quantitative risk assessment
... clear from Figure 2, our approach provides adequate fit to the smoothed empirical estimate of F x (37) = pr(y ≤ 37 | x) computed from the observed data, thereby motivating inference on the additional ...
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Models for Hierarchical-Structured Item Response Data and a Longitudinal Multilevel Logistic Regression Model on DIF Analyses
... accountable for students’ performance through high-stakes testing is of great interest in educational assessment field. Unfortunately, the traditional single-level measurement can only estimate the students’ abilities, ...
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Graphs of study contributions and covariate distributions for network meta-regression
... calculated contributions by model- ling trial ‐ level aggregate data (ie, treatment effects and ...patient data models can be advan- tageous over aggregate data models when studying patient ‐ ...
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Methods and Techniques for Quali-Quantitative Analyses: an Agricultural Application
... and quantitative variables; to identify dynamics; to operate on relatively few data; to be relatively user-friendly and apt to integrate data from different ...
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Quantitative analyses of EEG with special electrodes in TGA patients
... EEG data were not suitable for analysis due to the presence of artifacts related to electrical current, muscle contraction, drowsiness, or electrode ...EEGs from TGA group and 9 EEGs from normal ...
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