Sentence examples for regression problematic from inspiring English sources

In a multinomial logistic regression, problematic gambling was associated with gender, age, education, employment, region of origin and living in metropolitan areas.

Intercorrelations among toxicants were assessed because high intercorrelations can render the interpretation of multiple regression coefficients problematic.

Both percent taken and percent on time adherence outcomes violated Mauchly's test of sphericity and evidence highly negatively skewed distributions making our planned least squares regression approach problematic.

While colinearity in multiple linear regressions is problematic and can lead to inaccurate predictions, Nimrod/E is able to circumvent this problem and successfully identify both main effects and multifactor interactions [ 28].

The coefficient of determination, commonly abbreviated as r 2, is used, though its application to nonlinear regression is admittedly problematic [29, 30, 31].

That is, when there are many 0 or 1 responses, estimation with a standard BB regression can become problematic.

Recognizing the complex correlation structure among the PCB congeners (Additional file 1: Table S1) and with a limited sample size, standard regression strategies are problematic (e.g., [ 10]).

The SUR/delta and sequential regression methods are problematic for weak IV scenarios, since they do not adequately account for the error that accompanies estimation of the effect of the IV on the exposure, and they assume that the sampling distribution of the IV estimate is normal.

I consider this paper as an important and useful tutorial on regression using the problematic SG analysis as a teaching point, rather than an earnest attempt to show that the origin of Earth before life is compatible with the available data. - The authors use the term "measurement error models" (p. 6 of the manuscript).

This can be problematic in regression equations.

More importantly, the high correlation between histone modifications is problematic for regression and some classification methods [ 47].