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Random regression coefficients
1994Abstract In Chapter 2 we studied the analysis of covariance with random effects as a method for the description of between-cluster differences.
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Linear Regression (Regression Coefficient, Correlation Coefficient and Their Standard Errors)
2016Similarly to unpaired t-tests and Mann-Whitney tests (Chap. 7), linear regression can be used to test whether there is a significant difference between two unpaired treatment modalities. To understand how it works, picture a linear regression of cholesterol levels and diameters of coronary arteries.
Ton J. Cleophas, Aeilko H. Zwinderman
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Random Regression Coefficient Models
2020This chapter describes a modification of the nested error regression model having random regression coefficients. We can intuitively expect that the slope parameters of some explanatory variable are not constant and therefore they should take different values in different domains.
Domingo Morales +3 more
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Efficient Estimators for Regressing Regression Coefficients
The American Statistician, 1974A well-known formula for expressing a covariance in terms of variances is shown to hold true for estimating components ...
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Estimates of the Regression Coefficient Based on Kendall's Tau
, 1968P. Sen
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Standardized Regression Coefficients (SEMs)
2018Ton J. Cleophas, Aeilko H. Zwinderman
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Parametric modeling of quantile regression coefficient functions with censored and truncated data
Biometrics, 2017P. Frumento, M. Bottai
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Applied multiple regression/correlation analysis for the behavioral sciences
, 1979Jacob Cohen, P. Cohen, S. West, L. Aiken
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