Möller H J, Blank R, Steinmeyer E M
Universitäts-Nervenklinik und Poliklinik, Abteilung Psychiatrie, Bonn, Federal Republic of Germany.
Eur Arch Psychiatry Neurol Sci. 1989;239(2):133-9. doi: 10.1007/BF01759587.
Modern statistical approaches to the analysis of single cases have so far been rarely employed in psychiatric therapy research. The recently developed Hierarchical Trend-Segment Component Analysis (HTAKA) seems to be an adequate and practicable method for the field of therapy evaluation, not only under sophisticated research conditions, but also under routine treatment conditions, but analysis data of the effects of sleep-deprivation therapy as an example, the results of nonparametric time-series analyses performed according to HTAKA are presented. The statistical agglomeration of the single case results demonstrated that in most cases undergoing repeated sleep deprivation a long-term antidepressive effect related to this therapy could be proven.
现代用于分析单个病例的统计方法在精神治疗研究中迄今很少被采用。最近开发的分层趋势-段成分分析（HTAKA）似乎是治疗评估领域一种合适且可行的方法，不仅适用于复杂的研究条件，也适用于常规治疗条件。以睡眠剥夺疗法效果的分析数据为例，展示了根据HTAKA进行的非参数时间序列分析结果。单个病例结果的统计汇总表明，在大多数接受重复睡眠剥夺的病例中，可以证明存在与该疗法相关的长期抗抑郁效果。
