Sampsize 0.6.0

Sampsize is a tool that computes sample size and power for surveys, comparative studies including non-inferiority trials.
Sampsize is a tool that computes sample size and power for surveys, comparative studies including non-inferiority trials and case-control studies.

Sampsize computes sample size for prevalence surveys with finite population correction, sample size to detect a minimum number of events, sample size and power for one-sample and two-sample comparison of percentages and means, corrections for cluster sampling designs, sample size and power for unmatched and 1:1 case-control studies, sample size and power for non-inferiority trials.

This is a fast command line programme. Sampsize is written in C and depends only on libc. All computations are in double precision. A certification script is included. Sampsize is released under the GNU General Public Licence.

Here are some key features of "Sampsize":

Sample size for prevalence surveys
Finite population correction
Sample size to detect a minimum number of events
Exact binomial confidence intervals
Sample size and power for one-sample comparison of percentage to hypothesized value
Sample size and power for two-sample comparison of percentages
Sample size and power for one-sample comparison of mean to hypothesized value
Sample size and power for two-sample comparison of means
Correction for cluster sampling designs
Sample size and power for unmatched and 1:1 matched case-control studies
Minimum/Maximum detectable odds-ratio in case-control studies
Optional Continuity Correction
Sample size of non-inferiority trials with comparison of means and percentages

Requirements:

libc

What's New in This Release:

Continuity correction option for comparing two percentages (sample size and power). Default is no correction.
Implemented sample size and power for non-inferiority (equivalence) tests of two percentages and two means.

last updated on:
April 16th, 2008, 8:45 GMT
price:
FREE!
developed by:
Philippe Glaziou
homepage:
sampsize.sourceforge.net
license type:
GPL (GNU General Public License) 
category:
ROOT \ Science and Engineering \ Bioinformatics

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