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A Bivariate Regression-Based Cost-Effectiveness Analysis
Journal of Statistical Theory and Practice, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aryana Arsham, Ionut Bebu, Thomas Mathew
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A bivariate approach to meta‐analysis
Statistics in Medicine, 1993AbstractThe usual meta‐analysis of a sequence of randomized clinical trials only considers the difference between two treatments and produces a point estimate and a confidence interval for a parameter that measures this difference. The usual parameter is the log)odds ratio( linked to Mantel–Haenszel methodology.
H C, Van Houwelingen +2 more
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Bivariate Time Series Analysis
2020The autoregressive analysis of stationary multivariate time series includes construction of a time domain model in the form of a multivariate stochastic difference equation and its transformation into a spectral matrix to study frequency domain properties.
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Bivariate Path Analysis of Plasma Lipids
Human Heredity, 1983Methods which allow for the analysis of the joint transmission of two phenotypes within a nuclear family are discussed and applied to the transmission of cholesterol and triglyceride. The analysis of data from 160 Caucasian nuclear families suggests a moderate degree of both genetic and residual environmental association between the two lipids ...
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Bivariate Analysis of Concurrent Flooding
1987This study investigates the probability of concurrent flooding near and around the confluence of the Meramec ans Mississippi Rivers in Missouri. A new general approach called the “bivariate probability method” was developed as a result of this investigation.
C. D. Morris, S. J. Calise
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Bivariate EMD analysis for aircraft component inspection
2010 IEEE International Symposium on Industrial Electronics, 2010In recent years many alternative methodologies and techniques have been proposed to perform non-destructive inspection and maintenance operations of moving structures. In particular, ultrasonic techniques have shown to be very promising for automatic inspection systems.
M Leo, D Looney, T D'Orazio, D P Mandic
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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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