Table 2.

Which Statistical Tests to Use for Classical Predictive Modeling

	Parametric Data (Normal Gauss Distribution)	Nonparametric Data (Non-Gauss Distribution)	Two Possible Outcomes (Binominal)	Survival Analysis
Descriptive	Mean, standard deviation	Median, interquartile range, range	Proportions	Kaplan-Meier estimate and survival curve
Relationship between 2 variables	Pearson moment correlations	Spearman rank correlation	Contingency tables and coefficients
Predict outcome from one measured variable	Simple linear regression	Nonparametric regression	Logistic regression	Cox proportional hazards regression
Predict outcome from multiple measured variables	Multiple linear regression		Multiple logistic regression	Cox proportional hazards regression