Explain the difference between multiple regression and multivariate ...
For example, that "multivariate regression" pertains to multiple dependent variables and a single dependent variable? I'm trying to make sense of the term "multivariate multiple regression" and how …
Is adjusting p-values in a multiple regression for multiple comparisons ...
Purposeful selection of variables in logistic regression. Source Code for Biology and Medicine, 3, 17. Brombin, C, Finos, L, and Salmaso, L (2007). Adjusting stepwise p-values in generalized linear …
Multivariable vs multivariate regression - Cross Validated
Feb 2, 2020 · Multivariable regression is any regression model where there is more than one explanatory variable. For this reason it is often simply known as "multiple regression". In the simple …
Multiple logistic regression power analysis - Cross Validated
I have found an example for linear regression that uses an F F -Test. I want to do something similar for a logistic regression using G*Power. But there appears to be very little documentation on multiple …
Correction for multiple testing in Multiple regression analysis
May 26, 2020 · In multiple regression analysis, multiple testing is integral part of procedure- to find which predictor variables are independently related to outcome variable.
Multivariate logistic regression vs multinomial logistic regression ...
Multinomial logistic regression would be for predicting something like the animal in a photograph: dog, cat, horse, or alligator. A multivariate logistic regression would be to predict if the photograph …
Regression with multiple dependent variables? - Cross Validated
Nov 14, 2010 · Is it possible to have a (multiple) regression equation with two or more dependent variables? Sure, you could run two separate regression equations, one for each DV, but that doesn't …
Assessing model fit in logistic regression with multiple imputation
Aug 5, 2024 · I'm wondering if there is any established method for assessing model fit in logistic regression conducted with multiple imputed datasets. To the best of my knowledge, there are two …
regression - What model to use for multivariable analysis with small ...
Oct 25, 2024 · The standard term for using multiple explanatory variables in regression is multiple-regression. The standard method to obtain estimates of odds ratios is logistic regression.
Multiple logistic regression with ordinal predictors
May 29, 2024 · I'm looking for resources on general guidance for how to perform and interpret multiple logistic regression using SPSS, with ordinal predictors. I have 2 ordinal predictor variable.