Open AccessSome Nonparametric Statistical Tests for Quick Evaluation of Clinical Data
Author(s) -
E. Melvin Gindler
Publication year - 1975
Publication title -
clinical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.705
H-Index - 218
eISSN - 1530-8561
pISSN - 0009-9147
DOI - 10.1093/clinchem/21.3.309
Subject(s) - nonparametric statistics , statistics , statistical hypothesis testing , nomogram , control chart , test (biology) , sign test , chart , statistical analysis , mathematics , computer science , medicine , wilcoxon signed rank test , mann–whitney u test , paleontology , process (computing) , biology , operating system
Some rapid statistical tests give (a) rapid answers on how well methods agree and control chart evaluation (sign and run tests) and (b) evaluation of distribution of test results (Tukey's quick test and run test). These tests mainly require counting of data and the use of the given nomograms. An unusual distribution of patient test values--that is, unusual when compared with the generally observed distribution of the data seen in a particular laboratory--may indicate laboratory error, alteration of specimens (as from poor collection and/or storage techniques, such as evaporation), or an unusual patient population.
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