SampSize is an application to assist in the design of clinical trials by calculating the sample size using inputs provided by the user.

Features calculations for:

- Normal and binary endpoints
- Parallel and crossover designs
- Superiority Non-Inferiority Equivalence Bio-equivalence and Precision objectives

SampSize calculates either the required sample size for a desired power or calculates the power of a trial for a given sample size. It allows users to specify inputs such as significance level power mean difference (or limit) standard deviation and the allocation ratio.

Developed in collaboration with Dr Steven A Julious Medical Statistics Group School of Health and Related Research The University of Sheffield UK.

References:

- Julious SA. Sample sizes for clinical trails. Chapman and Hall 2009.

- Julious S. J. (2004). Tutorial in Biostatistics: Sample sizes for clinical trials with Normal Data. Statistics in Medicine 23 1921-86.

- Julious S. A. & Campbell M. J. (2012). Tutorial in biostatistics: sample sizes for parallel group clinical trials with binary data. Statistics in Medicine doi:10.1002/sim.5381.

- Julious SA & Owen R. Sample size calculations for non-inferiority studies with binary outcomes. Statistical Methods in Medical Research (DOI: 10.1177/0962280210378945).

- Julious SA. An introduction to statistics in early phase trials. Wiley 2010.