Sentence examples for computing sample size from inspiring English sources

Bayes success run theorem appeared to be the most appropriate approach among various methods considered in this work for computing sample size for PPQ.

Several commercial software packages are available for computing sample size in clinical trials with sequential designs and time to event endpoints, but there are a few R functions implemented.

Computing sample size from statistical theory can be a major challenge because the theoretical distributions of values are complex and asymmetrical, and a different formula needs to be used for each experimental design.

Fatigue was chosen as the primary outcome for computing sample size.

There are no straightforward rules for computing sample size for observational studies.

We recommend the program GLIMMPSE (URL: http://glimmpse.samplesizeshop.org/) for computing sample size for repeated measures and longitudinal designs.

A researcher can manually compute sample size using these formulae.

Alternatively, there are several statistical softwares and online calculators, which can compute sample size for various research designs.

We defined OS time at 96 weeks as a primary end point to compute sample size.

When previous data are available, statistical power should be computed, sample size chosen accordingly and reported.

For example, POWERLIB is a free SAS/IML module that computes sample size and power for a wide variety of general linear univariate and multivariate models [ 6].