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http://dx.doi.org/10.5351/KJAS.2010.23.1.123

Analysis of Daily Distress Symptoms: Threshold Estimation after Isolating the Distress Group  

Lee, Won-Nyung (Department of Biostatistics, Medical College, The Catholic University of Korea)
Song, Hae-Hiang (Department of Biostatistics, Medical College, The Catholic University of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.23, no.1, 2010 , pp. 123-138 More about this Journal
Abstract
After selecting a group of women with premenstrual syndrome based on daily distress scores of 28 days, one needs to estimate threshold for the change of symptoms, which would be useful for the clinician's diagnosis in hospitals. However, a test of whether a change has occurred has to precede the estimation of the threshold. In this paper, we apply parametric and nonparametric testing methods to an example data obtained from a group of women. Nonparametric method does not assume any distributional form of distress scores and parametric testing method is based on the normal distributions of linear regression lines. Therefore, the optimal situation of both methods would be different and we will assess it with a simulation study.
Keywords
Runs; Cox-Stuart; change-point of slopes; symptom patterns;
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