The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
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Analysis of Daily Distress Symptoms: Threshold Estimation after Isolating the Distress Group

매일의 불편감 증상점수의 분석: 불편감 증후군의 탐색과 증상 변화추세의 검정

  • 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)
  • 이원녕 (가톨릭대학교 의학통계학과) ;
  • 송혜향 (가톨릭대학교 의학통계학과)
  • Received : 20090900
  • Accepted : 20091100
  • Published : 2010.02.28
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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.

총 28일에 걸친 매일의 불편감 증상점수에 근거하여 월경 전 증후군을 가린 후, 임상에서 의료인의 진단시 유용하게 사용될 수 있는 월경 전 증후패턴의 시작점을 추정한다. 이러한 추정에 앞서 불편감 증상점수가 과연 변화 추세를 보이는가의 검정이 우선되어야 하며, 모수적 단순회귀식에 의한 검정법과 비모수적 검정법을 적용한다. 실제 여성에게서 수집된 자료에 적용하여 분석한다. 증상점수의 직선적인 변화시점을 알아내는 단순회귀 방법과 직선 형태를 가정하지 않는 비모수적 검정법은 최적이 되는 상황이 서로 다를 것이며, 이를 모의실험으로 알아본다.

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