Magos A L, Studd J W
Am J Obstet Gynecol. 1986 Aug;155(2):271-7. doi: 10.1016/0002-9378(86)90807-0.
The physical, psychological, and behavioral changes associated with the menstrual cycle can be assessed statistically by time series analysis. One such method, Trigg's technique for trends, has been adapted for the study of prospective symptom ratings used in evaluation of the premenstrual syndrome. Such analysis provides both qualitative and quantitative information concerning menstrual cycle symptomatology. The pattern of symptoms, as denoted by Trigg's tracking signal, can be identified. The premenstrual syndrome can be defined mathematically in terms of significant symptom trends at specified times in the menstrual cycle. The overall severity of symptoms at any point in the cycle can be gauged by the exponentially smoothed average symptom ratings. A derived statistic, the menstrual cycle ratio, is proposed as a global index of menstrual cycle morbidity which can be easily standardized to allow for comparability of research reports.
月经周期相关的生理、心理和行为变化可通过时间序列分析进行统计学评估。其中一种方法，即特里格趋势技术，已被应用于研究经前综合征评估中使用的前瞻性症状评分。这种分析提供了有关月经周期症状学的定性和定量信息。由特里格跟踪信号表示的症状模式可以被识别。经前综合征可以根据月经周期特定时间的显著症状趋势进行数学定义。周期中任何时间点症状的总体严重程度可以通过指数平滑平均症状评分来衡量。提出了一种派生统计量——月经周期比率，作为月经周期发病率的总体指标，它可以很容易地标准化，以便研究报告具有可比性。
