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Slope estimation of covariates that influence renal outcome following renal transplant adjusting for informative right censoring

机译:影响肾移植后肾结局的协变量的斜率估计,以进行信息正确的检查

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摘要

A new statistical model is proposed to estimate population and individual slopes that are adjusted for covariates and informative right censoring. Individual slopes are assumed to have a mean that depends on the population slope for the covariates. The number of observations for each individual is modeled as a truncated discrete distribution with mean dependent on the individual subjects' slopes. Our simulation study results indicated that the associated bias and mean squared errors for the proposed model were comparable to those associated with the model that only adjusts for informative right censoring. The proposed model was illustrated using renal transplant dataset to estimate population slopes for covariates that could impact the outcome of renal function following renal transplantation.
机译:提出了一种新的统计模型来估计人口和个体斜率,并针对协变量和信息性权利检查进行调整。假定各个斜率的均值取决于协变量的总体斜率。每个个体的观察数被建模为均值取决于个体受试者的斜率的截断的离散分布。我们的模拟研究结果表明,所提出模型的相关偏差和均方误差与仅针对信息性权利审查进行调整的模型具有可比性。使用肾移植数据集说明了建议的模型,以估计可能影响肾移植后肾功能预后的协变量的群体斜率。

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