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Descriptive Statistics 2: Bivariate Analysis
2021Chapter 6 deals with the descriptive statistics of bivariate data and regression analysis. It presents the concepts of covariance and correlation, and their implementation in Python. Then, it shows how to perform linear and nonlinear regression. Finally, it ends with an example of nonlinear regression in earth science: the application of the crystal ...
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Bivariate Extreme Analysis of Olympic Swimming Data
Journal of Statistical Theory and Practice, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Adam, M. Bakri, Tawn, Jonathan Angus
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Semiparametric Analysis of Two‐Level Bivariate Binary Data
Biometrics, 2006SummaryIn medical studies, paired binary responses are often observed for each study subject over timepoints or clusters. A primary interest is to investigate how the bivariate association and marginal univariate risks are affected by repeated measurements on each subject.
Naskar, Malay, Das, Kalyan
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Bivariate Random Effects Meta-Analysis of ROC Curves
Medical Decision Making, 2008Meta-analysis of receiver operating characteristic (ROC)-curve data is often done with fixed-effects models, which suffer many shortcomings. Some random-effects models have been proposed to execute a meta-analysis of ROC-curve data, but these models are not often used in practice.
Arends, Lidia +5 more
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Bivariate Binary Data Analysis with Nonignorably Missing Outcomes
Biometrics, 2000Summary.One of the objectives in the Northern Manhattan Stroke Study is to investigate the impact of stroke subtype on the functional status 2 years after the first ischemic stroke. A challenge in this analysis is that the functional status at 2 years after stroke is not completely observed.
Paik, Myunghee Cho +2 more
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Bivariate time-series analysis
Abstract In this chapter, we show how correlation analysis and spectral analysis can be applied to bivariate (and, by direct extension, multivariate) time series derived from Gaussian process models. We define the cross-correlogram and cross-spectrum and show how each of these can be used to explore lead–lag relationships between pairs ...Peter J. Diggle, Emanuele Giorgi
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The Analysis of Bivariate Data
1991The paired observation approach to the two-sample problem discussed in Chapter 12 assumes that either the data become available in natural pairs or that it is possible to arrange test subjects in pairs in such way that the two test subjects in a pair can be expected to perform very similarly. When pairing test subjects, a practical question arises: how
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Bayesian Nonparametric Bivariate Meta Analysis
2019In the meta-analysis of clinical trials, usually the data of each trail summarized by one or more outcome measure estimates which reported along with their standard errors. In the case that summary data are multi-dimensional, usually, the data analysis will be performed in the form of a number of separated univariate analysis.
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