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http://dx.doi.org/10.5351/KJAS.2011.24.6.1045

A Composite Trend Test with Symptom Occurrence and Severity Symptom Scores  

Choi, Se-Mi (Department of Biostatistics, Graduate School, The Catholic University of Korea)
Yang, Soo (College of Nursing, The Catholic University of Korea)
Song, Hae-Hiang (Department of Biostatistics, Graduate School, The Catholic University of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.24, no.6, 2011 , pp. 1045-1054 More about this Journal
Abstract
During clinical trials a researcher is frequently able to observe a disease symptom in a subject as well as a severity score for those who experienced a symptom after a fixed length of treatment. The traditional method to evaluate a decreasing trend in proportion, when there is an intrinsic order in the treatment groups (for example control and two or more treatment groups) is a Cochran-Armitage test, while the method to evaluate a decreasing trend in continuous non-normal data is a Jonckheere-Tersptra test. The Cochran-Armitage test emphasizes the dichotomous data of symptom occurrence and the Jonckheere-Tersptra test emphasizes the continuous non-normal data of severity symptom scores. In this paper we propose new test statistics that consider the combined evidence from a symptom occurrence and disease severity score. We illustrate these methods with example data of schizophrenic inpatients that demonstrated antipsychotic-drug induced constipation. A small-scale simulation is conducted to compare the new trend tests with other trend tests.
Keywords
Trend test; symptom incidence; symptom severity;
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