The sample size calculation can be performed for testing a one-sided (superiority, non-inferiority), two-sided (difference), or two one-sided (quivalence) hypothesis. For each test, different options are available for the parameters used in the calculations.

• Student's t-test
  • Unpaired
  • Paired
• ANOVA
  • One-way
  • Two-way
  • Three-way
  • Single Latin Square
  • Replicated Latin Squares
  • Replicated Latin Squares (block factor)
  • Randomised Blocks, one factor
  • Randomised Blocks, two factors
• ANOVA Repeated Measures
  • One within factor
  • One within, one between factor
• MANOVA Hotelling's T2
  • One groups
  • Two groups
• MANOVA Repeated Measures
  • One within factor
  • One within, one between factor
• ANCOVA
• McNemar's test
• Paired Proportions test
• Stuart-Maxwell test
• Fisher's exact test
• Chi-square test
  • 1 x C table, Goodness of Fit
  • R x C table, Two Proportions
  • R x C table, Homogeneity
  • R x C table, Independence

• Mantel-Haenszel test
• Cochran-Armitage Trend test
• Exponential Survival (MLE)
  • Hazard Difference test (Lachin-Foulkes)
  • Hazard Ratio test (George-Desu)
  • Hazard Ratio test (Rubenstein et.al.)
• Linear Regression
  • Simple
  • Multiple
• Logistic Regression
  • Continuous covariate
  • Binary covariate
• Poisson Regression
  • Continuous covariate
  • Binary covariate
• Pearson Correlation test
• Two-way Cross-Over Design
  • Additive Model
  • Multiplicative Model
• General Cross-Over Design
  • Additive Model
  • Multiplicative Model
• Goodness of Fit test
  • Chi-square test
  • Kolmogorov-Smirnov test