REPEATED MEASUREMENT ANALYSIS FOR NONNORMAL DATA IN SMALL SAMPLES
REPEATED MEASUREMENT ANALYSIS FOR NONNORMAL DATA IN SMALL SAMPLES
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DOI：
10.1080/03610918808812718
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发表时间：
1988-01-01
影响因子：
0.9
通讯作者：
PAIK, MC
中科院分区：
文献类型：
--
作者：
PAIK, MC
本文研究了Zeger和Liang（Biometrics，42，121 - 130，1986）提出的用于纵向数据分析的扩展广义线性模型在相关伽马数据下的小样本性能。结果表明，置信区间不提供理想的覆盖率的真实参数，由于相当偏置的点估计。改进的估计，提出了使用刀切过程。模拟进行评估建议的估计表明上级属性到以前的估计。
The small sample performance of Zeger and Liang's extended generalized linear models for the analysis of longitudinal data (Biometrics, 42,121-130,1986) is investigated for correlated gamma data. Results show that the confidence intervals do not provide desirable coverage of the true parameter due to considerably biased point estimates. Improved estimates are proposed using the jackknife procedure. Simulations performed to evaluate the proposed estimates indicate superior properties to the previous estimates.