StatsTest Blog
Experimental design, data analysis, and statistical tooling for modern teams. No hype, just the math.
Filters
Browse topics
Linear Discriminant Analysis
Linear Discriminant Analysis is a statistical test used to predict a single categorical variable using one or more other continuous variables.
Mixed Effects Logistic Regression
Mixed effects logistic regression is a statistical method used to predict a binary variable with one or more other variables with repeated measures.
Mixed Effects Model
A mixed effects model is used for determining the effects of one or more independent variables on a dependent variable when there are repeated measures from the same unit of observation.
Multinomial Logistic Regression
Multinomial Logistic Regression is a statistical test used to predict a single categorical variable using one or more other variables.
Multiple Linear Regression
Multiple Linear Regression is a method used for predicting one continuous variable using one or more other variable or for understanding the numerical relationship between then.
Multiple Logistic Regression
Multiple Logistic Regression is a statistical test used to predict a single binary variable using one or more other variables.
Multivariate Multiple Linear Regression
Multivariate multiple linear regression is a statistical method used to predict one or more dependent variables using one or more independent variables.
Ordinal Logistic Regression
The StatsTest Flow: Prediction >> Ordered Categorical Dependent Variable Not sure this is the right statistical method? Use the Choose Your StatsTest workflow to select the righ...
Simple Linear Regression
Simple Linear Regression is a method used for predicting one continuous variable using one other variable or for understanding the numerical relationship between then.
Simple Logistic Regression
Simple Logistic Regression is a statistical method used to predict a single binary variable using one other continuous variable.
Cramer's V
Cramer's V can be used to understand the strength of the relationship between two categorical variables with two or more unique values per variable.
