Sampsize Sampsize is a tool that computes sample size and power for surveys, comparative studies including non-inferiority trials.
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cluster sampling prevalence sample size calculator prevalence survey cluster sampler

Sampsize Description

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 percentagesRequirements:· libcWhat'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.

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