Sampsize 0.6.0

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

  Add it to your Download Basket!

 Add it to your Watch List!

0/5

Rate it!
send us
an update
LICENSE TYPE:
GPL (GNU General Public License) 
USER RATING:
2.6/5 18
DEVELOPED BY:
Philippe Glaziou
HOMEPAGE:
sampsize.sourceforge.net
CATEGORY:
ROOT \ Science and Engineering \ Bioinformatics
1 Sampsize Screenshot:
Sampsize
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

#sample size calculator #prevalence survey #cluster sampler #cluster #sampling #prevalence #survey

Add your review! 1 USER REVIEW SO FAR

SUBMIT