15 февр. 2015 г. · ANCOVA is a special case of a multiple regression model. Multiple regression does not make any assumptions about the distributions of the explanatory variables ...

24 авг. 2021 г. · ANOVA/ANCOVA(sig. tests of regression coefficients) does not require that IVs are normally distributed. The only assumption of normality is for the residuals.

6 апр. 2019 г. · I'm analysing some data for a study that has a normal (cognition) outcome, but the predictor of interest (biomarker) is heavily skewed at the top end.

29 окт. 2018 г. · Fitting the Cox proportional hazards model does not require that the variables are normally distributed at all.

24 нояб. 2012 г. · If your covariates are normally distributed, the marginal distribution of the predicted values might be normal, but that's a different issue.

10 мая 2023 г. · You should compare multiple features of the covariate distribution to determine whether you have achieved balance. Numerical statistics like ...

9 нояб. 2013 г. · You don't need to assume Normal distributions to do regression. Least squares regression is the BLUE estimator (Best Linear, Unbiased Estimator) regardless of ...

3 июн. 2012 г. · Here we have several thousand observations and clearly we must reject the normally-distributed-residuals assumption. One way to address the ...

22 февр. 2018 г. · 2) Yes, and you can look up the assumptions of general linear models. They include conditional normality and homoscedasticity. These are usually ...

7 июн. 2016 г. · As per the comment by @Roland, there is no requirement for the response variable itself to be normally distributed in a linear mixed model (LMM).