MeansTests
One group t
Paired t
Student’s t-test (equal variances)
Sattherthwaite’s t-test (unequal variances)
Two group t-test for fold change assuming log-normal distribution
Two group t-test of equal fold change with fold change threshold
Crossover (2x2)
One way analysis of variance
Two way analysis of variance
Repeated measures ANOVA (one and two group)
Contrasts
Confidence Intervals
One group
Paired design
Two group
Contrasts
For normal limits
One sided and TOST Equivalence Tests
Paired design
Two group (difference in means)
Two group (ratio of means)
Crossover (difference in means)
Crossover (ratio of means)
Agreement One Group Tests and Confidence Intervals
Kappa
Correlation coefficient
Lin’s concordance coefficient
Intra-class correlation
Regression
Tests and Confidence Intervals
Logistic regression (one or multiple covariates)
Linear regression
Multiple regression
Multiple regression (with partialling)
Tests and confidence intervals for regression slopes in one and two sample designs
Plots
Multiple plot options allowing user specification of x and y axes (power vs n, interval width vs n, and power or n versus effect size)
Create Randomization Lists
Create randomization lists for simple or complex studies with centers, strata, unequal treatment assignments
Select block sizes and use ID numbering options | | ProportionsTests
One group binomial (exact)
Paired (McNemar’s and exact tests)
Two group Chi-square
Continuity corrected Chi-square
Fisher’s Exact Test
Gx2 table Chi-square
Logistic model for Gx2 table
Cochran / Mantel - Haenszel
Goodness of fit, C categories
Two - group, C categories
G - group, C categories
Confidence Intervals
One group binomial
One group binomial (rare event)
Paired design (odds ratio)
Two group (difference/odds ratio)
Two group (relative risk)
One sided and TOST Equivalence Tests For paired proportions
For two independent proportions
Nonparametric
Tests
Wilcoxon/Mann-Whitney rank-sum test (continuous outcome or ordered scale)
Survival
Two group Tests
Test of exponential survival (accrual/dropouts)
Log-rank test (simulation) for user-specified accrual, hazard rates, dropout rates (equal and unequal n’s)
Non-inferiority test
Features
Equal or unequal n’s
Finite population corrections
Cluster sample corrections
Kupper-Hafner CI modification
Plots
Statements
Effect size assistance
References
Standard deviation calculator
Column names
Tables, statements, guides in RTF format
Decimal display controls
Create randomization list |
