Development of an efficient SAS macro to perform permutation tests for two independent samples.

Abstract:

:When underlying distributions are unknown and sample sizes are small, permutation tests may have superior features to parametric tests, such as smaller type I error and more accurate probability values when testing the null hypothesis. However, permutation tests are not widely used in clinical trials because of their computational complexity. We developed an efficient SAS macro to generate all possible permutations of the data and to run subsequent permutation tests of difference between means for two independent samples. The macro performs permutation tests and provides the exact probability of significance for a wide range of statistics, including geometric means, medians, mid-ranges, mean-ranks, proportions and variances to meet the needs of data analysis in clinical trials.

authors

Balasubramani GK,Wisniewski SR,Zhang H,Eng HF

doi

10.1016/j.cmpb.2005.03.010

subject

Has Abstract

pub_date

2005-08-01 00:00:00

pages

179-87

issue

2

eissn

0169-2607

issn

1872-7565

pii

S0169-2607(05)00084-2

journal_volume

79

pub_type

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