Kurichi and Sonnad reported a table for selecting an appropriate statistical method to analyze clinical data. The authors are from the University of Pennsylvania.
Parameters:
(1) purpose of the study
(2) types of variable
Parameter
Continuous Normal Distribution
Nonnormal Distribution or Ordinal
Dichotomous
Survival Time
descriptive
mean, standard deviation
mean, inter-quartile range
proportion
Kaplan-Meier survival
compare 2 unpaired groups
independent samples t-test
Mann-Whitney test
chi-square test or Fisher's exact
log-rank test
compare 2 paired groups
paired t-test
Wilcoxon test
McNemar's test
proportional hazards regression
compare >=3 unmatched groups
one-way ANOVA
Kruskal-Wallis test
chi-square test
proportional hazards regression
compare >= 3 matched groups
repeated measures ANOVA
Friedman test
Cochrane Q
proportional hazards regression
determine if 2 variables are associated
Pearson correlation
Spearman correlation
chi-square test
NA
predict outcomes from 1 independent variable
simple linear regression
nonparametric regression
simple logistic regression
proportional hazards regression
predict outcomes from >= 2 independent variables
multiple linear regression
robust regression or regression on ranks
multiple logistic regression
proportional hazards regression
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