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Treatment effect from rate model analysis.

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Figshare2015-12-02 更新2026-04-29 收录
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A) Estimates of the coefficients from the GLM analysis focusing on the study phase interaction ζp,g(s) of the baseline rate model. Estimates are given with the 95% confidence intervals in parenthesis. The results indicate a significant treatment effect is present during the treatment phase (p = 0.024) and the post-treatment follow-up phase (p = 0.002). B) Estimates of the coefficients from the GLM analysis focusing on the study phase interaction ζp,g(s of the full model incorporating effects for gender and seizure class interactions with study phase within the treatment group. The results indicate a significant treatment effect is present during the treatment phase (p = 0.033) and the post-treatment follow-up phase (p = 0.006).

A) 针对基线速率模型的研究阶段交互项ζ_{p,g}(s) 开展广义线性模型(Generalized Linear Model, GLM)分析所得的系数估计值,估计结果附带括号内标注的95%置信区间。分析结果显示,在治疗阶段(p = 0.024)与治疗后随访阶段(p = 0.002)均存在显著的治疗效应。B) 针对完整模型的研究阶段交互项ζ_{p,g}(s)(该完整模型纳入了治疗组内性别、发作类别与研究阶段的交互效应)开展广义线性模型分析所得的系数估计值。分析结果显示,在治疗阶段(p = 0.033)与治疗后随访阶段(p = 0.006)均存在显著的治疗效应。

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2015-12-02
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