Elkin I, Gibbons R D, Shea M T, Sotsky S M, Watkins J T, Pilkonis P A, Hedeker D
School of Social Service Administration, University of Chicago, USA.
J Consult Clin Psychol. 1995 Oct;63(5):841-7. doi: 10.1037//0022-006x.63.5.841.
Random regression models (RRMs) were used to investigate the role of initial severity in the outcome of 4 treatments (cognitive-behavior therapy [CBT], interpersonal psychotherapy [IPT], imipramine plus clinical management [IMI-CM], and placebo plus clinical management [PLA-CM]) for outpatients with major depressive disorder seen in the National Institute of Mental Health Treatment of Depression Collaborative Research Program. Initial severity of depression and impairment of functioning significantly predicted differential treatment effects. A larger number of differences than previously reported were found among the active treatments for the more severely ill patients; this was due, in large part, to the greater power of the present statistical analyses.
随机回归模型（RRMs）被用于研究初始严重程度在国立精神卫生研究所抑郁症协作研究项目中针对重度抑郁症门诊患者的4种治疗方法（认知行为疗法[CBT]、人际心理疗法[IPT]、丙咪嗪加临床管理[IMI-CM]以及安慰剂加临床管理[PLA-CM]）的治疗结果中的作用。抑郁症的初始严重程度和功能损害显著预测了不同的治疗效果。在病情更严重的患者中，活性治疗之间发现了比之前报告更多的差异；这在很大程度上归因于当前统计分析的更强效力。
