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Type of data with no implied rank or order nominal
Type of data with rank/order, but not mathematically equal ordinal
Type of data with units of measure that are constant/equal continuous
Tests used for 2 treatment groups with different subjects, nominal data Chi-squared or
Fisher exact
Tests used for 2 or 3 treatment groups with different subjects, nominal data Chi-squared
Tests used for 2 treatment groups with different subjects, ordinal data Mann-Whitney,
Wilcox rank sum
Tests used for 3 treatment groups with different subjects, ordinal data Wilcox signed rank
Tests used for 2 treatment groups with different subjects, continuous data, normal distribution
Student-T test
Tests used for 3 treatment groups with different subjects, continuous data, normal distribution
ANOVA
Tests used for 2 treatment groups with different subjects, continuous data, non-normal
distribution Mann-Whitney, Wilcox rank sum
Tests used for 3 treatment groups with different subjects, continuous data, non-normal
distribution Kruskal Wallis
, Term for acceptable false positive, usually 0.05 Alpha
Term for acceptable false negative, usually 0.20 Beta
The ability to detect false negative, P = 1-beta Power
Odds of outcome is lower with treated population OR < 1
No difference in odds of outcome OR = 1
Odds of outcome is greater in treated population OR > 1
Odds ratio equation OR = (A/B) / (C/D)
Relative risk equation RR = (A/A+B) / (C/C+D)
Relative Risk Reduction (RRR) RRR = 1-RR
number needed to treat/harm equation NNT/H = 1/ARR
Absolute Risk Reduction Equation ARR = (C/C+D) - (A/A+B)
Sensitivity equation Sensitivity = TP / (TP + FN)
The ability of a test to correctly identify patients with the condition Sensitivity
Type of data with no implied rank or order nominal
Type of data with rank/order, but not mathematically equal ordinal
Type of data with units of measure that are constant/equal continuous
Tests used for 2 treatment groups with different subjects, nominal data Chi-squared or
Fisher exact
Tests used for 2 or 3 treatment groups with different subjects, nominal data Chi-squared
Tests used for 2 treatment groups with different subjects, ordinal data Mann-Whitney,
Wilcox rank sum
Tests used for 3 treatment groups with different subjects, ordinal data Wilcox signed rank
Tests used for 2 treatment groups with different subjects, continuous data, normal distribution
Student-T test
Tests used for 3 treatment groups with different subjects, continuous data, normal distribution
ANOVA
Tests used for 2 treatment groups with different subjects, continuous data, non-normal
distribution Mann-Whitney, Wilcox rank sum
Tests used for 3 treatment groups with different subjects, continuous data, non-normal
distribution Kruskal Wallis
, Term for acceptable false positive, usually 0.05 Alpha
Term for acceptable false negative, usually 0.20 Beta
The ability to detect false negative, P = 1-beta Power
Odds of outcome is lower with treated population OR < 1
No difference in odds of outcome OR = 1
Odds of outcome is greater in treated population OR > 1
Odds ratio equation OR = (A/B) / (C/D)
Relative risk equation RR = (A/A+B) / (C/C+D)
Relative Risk Reduction (RRR) RRR = 1-RR
number needed to treat/harm equation NNT/H = 1/ARR
Absolute Risk Reduction Equation ARR = (C/C+D) - (A/A+B)
Sensitivity equation Sensitivity = TP / (TP + FN)
The ability of a test to correctly identify patients with the condition Sensitivity