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Individual patient data meta-analysis estimates the minimal detectable change of the Geriatric Depression Scale-15
Journal of Clinical Epidemiology ( IF 7.3 ) Pub Date : 2024-06-26 , DOI: 10.1016/j.jclinepi.2024.111443
Nadia P González-Domínguez 1 , Yin Wu 2 , Suiqiong Fan 2 , Brooke Levis 2 , Ying Sun 2 , Simon Gilbody 3 , John P A Ioannidis 4 , Daphna Harel 5 , Simone N Vigod 6 , Sarah Markham 7 , Roy C Ziegelstein 8 , Pim Cuijpers 9 , Scott B Patten 10 , Jill T Boruff 11 , Brett D Thombs 12 , Andrea Benedetti 13 ,
Affiliation  

To use individual participant data meta-analysis (IPDMA) to estimate the minimal detectable change (MDC) of the Geriatric Depression Scale-15 (GDS-15) and to examine whether MDC may differ based on participant characteristics and study-level variables.

中文翻译:


个体患者数据荟萃分析估计了老年抑郁量表 15 的最小可检测变化



使用个体参与者数据荟萃分析 (IPDMA) 来估计老年抑郁量表 15 (GDS-15) 的最小可检测变化 (MDC),并检查 MDC 是否可能因参与者特征和研究水平变量而异。
更新日期:2024-06-26
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